Goodbye to the hydraulic version of Atlas and hello to the electric model designed for commercialization. That’s the message from Boston Dynamics Inc., which yesterday retired the older version of its humanoid robot after 15 years of development and today showed a preview of its successor.

“The next generation of the Atlas program builds on decades of research and furthers our commitment to delivering the most capable, useful mobile robots solving the toughest challenges in the industry today: with Spot, with Stretch, and now with Atlas,” said the company in a blog post. Spot is a quadruped used in facilities inspection and other tasks, and Stretch is designed to unload trucks.

Boston Dynamics began with humanoids by sawing one of its pneumatically powered quadrupeds in half back in 2009. By 2016, the Waltham, Mass.-based company showed that its robot could walk, open a door, and maintain its balance while being shoved by a person holding a hockey stick, all without a tether.

Roboticists continued to improve Atlas, giving it a smaller form factor and more sensors, training its artificial intelligence, and enabling it to do increasingly impressive feats. They ranged from parkour and dancing to taking tools through a mock construction site.

In fact, it was that demonstration of Atlas manipulating a plank, picking up a bag of tools, and taking it to a worker that earned Boston Dynamics an RBR50 Robotics Innovation Award. The company will be exhibiting at the RBR50 Showcase at the Robotics Summit & Expo on May 1 and 2.

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Boston Dynamics evolves with the times

As capable as the YouTube darling was, the older version of Atlas still had limitations, both in range of motion and in terms of size and power usage. Boston Dynamics noted that it designed its legged robots to operate in unstructured environments, and it acknowledged that Atlas was initially a research and development project rather than a commercial product.

In the meantime, the company itself changed owners, from Google in 2013 to SoftBank in 2017 and most recently to Hyundai in 2020. Along with those changes came an increasing focus on robots such as Spot and Stretch serving industrial needs. To continue pure research, Hyundai founded the Boston Dynamics AI Institute in 2022.

“The AI Institute recently launched a new version of Spot with an API [application programming interface] designed for researchers,” said Robert Playter, CEO of Boston Dynamics. “We’re talking about how to jointly solve some big challenges — the diversity of manipulation tasks we need to do with this robot [Atlas] is huge, and AI is essential to enabling that generality.”

Playter told The Robot Report that Boston Dynamics needs results within two to three years, while the AI Institute has more of a five-year timeframe.

Robot lessons apply to fleets, new Atlas

“It takes a solid year from a clean sheet to a new robot,” said Playter. “We wanted to know that we could solve essential dexterous manipulation problems before releasing the product.”

Boston Dynamics learned numerous lessons from commercializing Spot and Stretch, he said. It has improved control policies, upgraded actuation, and minimized joint complexity. The new Atlas has three-fingered grippers.

The Orbit fleet management software, which initially applies to indoor deployments of Spot, could also help supervise Stretch and Atlas.

Atlas gets ready for mobile manipulation in industrial settings. Source: Boston Dynamics

“Everything we understood, from the time of launching Spot as a prototype to it being a reliable product deployed in fleets, is going into the new Atlas,” Playter said. “We’re confident AI and Orbit will help enhance behaviors. For instance, by minimizing slipping on surfaces at Anheuser-Busch, we proved that we can develop algorithms and make it reliable.”

“Now, 1,500 robots in our fleet have them running,” he added. “It’s essential for customers like Purina to monitor and manage fleets as a vehicle for collecting data. As we develop and download new capabilities, Orbit becomes a hub for an ecosystem of different robots.”

Safety and autonomy are basic building blocks

Boston Dynamics has considered safe collaboration in its development of the new Atlas. ASTM International is developing safety standards for legged robots.

“We recognized early on that Atlas is going to work in spaces that have people in them,” said Playter. “This sets the bar much higher than lidar with AMRs [autonomous mobile robots].”

“We started thinking about functionally safe 3D vision,” he recalled. “We started with Stretch inside a container, but ultimately, we want it going everywhere in a warehouse. Advanced, functionally safe, remote vision and onboard systems are essential to solving safety.”

While Spot and Atlas are often teleoperated, Playter said this is a necessary step toward greater levels of autonomy.

“Making the robots knowledgeable about different types of objects and how to grasp them, teleoperation is just a tool for providing examples and data to the robot,” he explained. “It’s not a useful way of building intuition, but it’s easier if you can operate robots at a higher and higher level. Like you don’t need to tell Spot where to plant its feet, you don’t want to tell Atlas where to grasp.”

In the new video below, the previous version of Atlas handles automotive parts and real products weighing up to 25 lb. (11.3 kg).

Atlas ready for rivals in the humanoid race

Over the past two years, the number of humanoid robots in development has rapidly grown. It now includes Agility Robotics‘ Digit, Tesla’s Optimus, and Figure AI‘s Figure 01. In the two past weeks alone, Rainbow Robotics, Sanctuary AI, and Mentee Robotics have all made announcements.

Investment has also been flowing to humanoid companies, with 1X Technologies raising $100 million in January, Figure AI raising $675 million in February, and Accenture investing in Sanctuary AI in March.

Humanoid robots have advanced in parallel with generative AI, and Playter said he welcomes the competition.

“There were three seminal events: Boston Dynamics got acquired for $1 billion, interest in Tesla’s robot validated what we’ve done for a long time, and the emergence of new AI holds the promise of generalization of tasks,” he said. “They’ve inspired lots of new players, but having new tech isn’t all you need to have a commercial product. You need to focus on a use case, build a reliable machine, and manufacture it in a way to build a business. We want to avoid a ‘humanoid winter,’ so rollouts have to be real.”

Playter added that practical design and proper implementation of AI will help differentiate robots rather than focusing on making them more human-like. The new version of Atlas demonstrated that point in how it stood up in the video at the top of this article.

“It’s not talking to a robot that moves the needle, but whether you can build a robot that eventually does 500 tasks,” he said. “Anthropomorphism blows things out of perspective. We did not want a human-shaped head for Atlas. We want people to remember it’s a machine and that it can move in ways humans can’t.”

The financial stability of the businesses involved will also be relevant for commercial success, said Playter. 

“It takes sustained investment; these are expensive products to launch,” he noted. “Having products already out helps build momentum.”

Atlas is humanoid — to a point. Source: Boston Dynamics

When will we see the new robot in the wild?

Boston Dynamics will begin testing the all-electric version of Atlas with parent company Hyundai and select partners next year, said Playter.

“We’re beginning in their factory,” he told The Robot Report. “In addition to the target application of a lot of parts movement — a special kind of logistics in automotive production — I think that will evolve as the dexterity of the robots improves over time.”

“We see robots in the workplace as an evolution, a continuum from Spot to Atlas,” asserted Playter. “Each product in the series informs the launch of the next.”

“Industries will have to figure out how to adapt and incorporate humanoids into their facilities,” he said. “We’ll actually see robots in the wild in factories beginning next year. We want a diversity of tasks.”

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Mentee Robotics co-founders include Lior Wolf, CEO (left); Amnon Shashua, chairman (middle); Shai Shalev-Shwartz, chief scientist (right). | Credit: Mentee Robotics

Mentee Robotics came out of stealth today and unveiled its first bipedal humanoid robot prototype. An experienced team founded the Herzliya, Israel company in 2022. It includes Prof. Amnon Shashua, the chairman of Mentee Robotics, an expert in AI, computer vision, natural language processing and other related fields.

The company‘s founders also include Prof. Lior Wolf, the CEO of Mentee Robotics and formerly a research scientist and director at Facebook AI Research, and Prof. Shai Shalev-Shwartz, a computer scientist and machine learning researcher. 

Prof. Shashua is also the founder and current CEO of Mobileye, a public company that is developing autonomous-driving and driver-assist technologies and harnessing advancements in computer vision, machine learning, mapping, and data analysis.

The company joins a growing list of robotics developers that have launched competing humanoids in the past year, including Figure AI, Sanctuary AI, Apptronik, Tesla, 1X, and others.

The Menteebot humanoid can take verbal instructions and then execute a mission. | Credit: Mentee Robotics

Leveraging Sim2Real training data

Mentee Robotics is developing a humanoid robot that it said will be capable of understanding natural-language commands by using artificial intelligence. The growth and evolution of large language models (LLM) over the past year is the foundation for this capability.

The prototype of Menteebot that was unveiled today incorporates AI at every level of its operations. The motion of the robot is based on a new machine-learning method called simulation to reality (Sim2Real). In this method, reinforcement learning happens on a virtual version of the robot, which means that it can use as much data as it needs to learn and then respond to the real world with very little data. 

NeRF-based methods, which are the newest neural network-based technologies for representing 3D scenes, map the world on the fly. The semantic knowledge is stored in these cognitive maps, which the computer can query to find things and places.

Mentee’s robot can then figure out where it is on the 3D map and then automatically plan dynamic paths to avoid obstacles.

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Mentee Robotics has more work to do

The prototype that was unveiled today demonstrated an end-to-end cycle from complex task completion, including navigation, locomotion, scene understanding, object detection and localization, grasping, and natural language understanding.

However, Mentee Robotics noted that this is not the final version that is ready for deployment.

The company also told The Robot Report that is it targets two primary market initially with the Mentee humanoid. One of these markets is household, with a domestic assistant adept at maneuvering within households, capable of executing a range of tasks including table setting, table cleanup, laundry handling, and the ability to learn new tasks on the fly through verbal instructions and visual imitation. The second industrial market is in the warehouse, with a warehouse automation robot designed to efficiently locate, retrieve, and transport items, and a capacity to handle loads weighing up to 25 kg (55 lbs).

The robot includes custom-engineered motors to deliver torque, design life, and efficiency. | Credit: Mentee Robotics

Production units to come in 2025

Mentee Robotics said it is planning to release a production-ready prototype by Q1 2025. The system uses only vision-based cameras for sensing the world around it.

In addition, the company’s engineering team developed proprietary electric motors to support the robot’s dexterity requirements.

“We are on the cusp of a convergence of computer vision, natural language understanding, strong and detailed simulators, and methodologies on and for transferring from simulation to the real world,” said Prof. Amnon Shashua, chairman of Mentee Robotics. “At Mentee Robotics, we see this convergence as the starting point for designing the future general-purpose bipedal robot that can move everywhere — as a human — with the brains to perform household tasks and learn through imitation tasks it was not previously trained for.”

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maxon says it can provide all key components of a tightly integrated robotics drive from a single source. | Source: maxon

maxon group has launched its new drive systems portfolio specifically designed for modern robotics applications. The company said it believes that developers and startups should focus on their core value drivers and challenges and leave it to maxon to take care of key complexities typically associated with robotic actuators, including high performance, reliability, supply chains, integration, and testing. 

Modern robots require highly scalable manufacturing of complex and high-performance actuators, asserted maxon. Therefore, robustness and reliability are key, especially for systems operate in unstructured environments, the company added. maxon said this is one of its strengths because it designs and tests all of its robotics products to the highest quality standards. 

The Sachsein, Switzerland-based company’s new portfolio contains 15 different actuators divided into two families: High Efficiency Joints and High Precision Joints. It said each provides unique benefits to address a broad range of industrial applications. 

maxon’s High Efficiency Joint line

The High Efficiency Joints integrate torque-dense electric motors from maxon’s EC frameless DT motor lineup, planetary gears, electronics, sensing, and support structures into a fully integrated IP67 ingress-protected actuator unit. 

maxon said this line of joints can achieve up to 86% efficiencies and can output high continuous power, thanks to their integrated cooling capabilities. The joint line’s control system can be configured flexibly and support independent control of the joint. 

Target applications are mobile robots in unstructured environments, explained maxon. This includes humanoids, quadrupeds, exoskeletons, or mobile manipulators. The company said its systems enable roboticists to quickly create a high-performing robot that follows modern design principles such as those dictated by deep reinforcement learning and related simulation approaches. 

Thje new High-Efficiency Joint HEJ 90-48-140 provides 140 Nm and 13 rad/s at the joint, is IP67 rated, and contains electronics and sensors for modern robotics control systems. | Source: maxon

maxon targets systems integrators with High Precision Joints

The High Precision Joints are more configurable systems based on strain-wave gearboxes and high-resolution output encoders, said maxon. While these actuators also feature torque-dense electric motors, the company said it’s targeting systems integrators. It said hopes to enable them to quickly create robotics systems like collaborative or industrial manipulators or surgical robots. 

maxon’s High Precision Joints allow the creation of well-optimized robots. When combined with its customer-facing robotics design simulation, optimization, and consulting services, the company said it can ensure that customers obtain the right systems for their applications. 

maxon is a fully vertically integrated provider of actuation systems ranging from brushed to brushless motors, sensors, gears, and electronics. The company said this enables it to provide robotics actuators that are high-performing, low-cost, and adaptive to customer requirements.

maxon’s High Precision Joints feature strain-wave gearboxes with no backlash and high-resolution output encoders. | Source: maxon

See maxon at webinar and Robotics Summit & Expo

Carsten Horn, applications engineering manager at maxon, and Dario Renggli, business development engineer at maxon, will participate in a free webinar at noon EDT on Wednesday, April 17, on “Motion Control for Healthcare Robotics Applications.”

In addition, Tobias Wellerdieck, head of robotic drive systems at maxon, will be speaking at the Robotics Summit & Expo, which will be on May 1 and 2 at the Boston Convention and Exhibition Center. His talk, “Holistic Drive System Optimization for Robotics,” will discuss the challenges that come with developing robotic systems for new, complex markets. 

maxon will also be exhibiting on the Robotics Summit & Expo show floor at Booth 327. The company is also a Gold Sponsor of the event. Registration is now open.

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This week, we announced the honorees for the 2024 RBR50 Robotics Innovation Awards. On the podcast episode this week, the entire The Robot Report editorial staff brings its opinions, observations, and highlights of the 2024 awards program. Host Steve Crowe discusses the awards with editors Mike Oitzman, Eugene Demaitre, and Brianna Wessling.

Listen as the editors discusses some of their favorite robotics companies and products from this cohort of honorees. You’ll learn what impressed the editors about several of the winners and what’s notable in this year’s program.

Digit named Robot of the Year

2023 was the year of humanoids, and Agility Robotics has taken an early lead with commercial trials. The company’s Digit humanoid stole the show at ProMAT, where it demonstrated its ability to pick up totes from a shelf, walk over to a conveyor, and place the totes onto the conveyor.

Autopicker wins Application of the Year

Cincinnati-based Brightpick, which spun out of Photoneo, was named the inaugural Application of the Year winner. In 2023, Brightpick unveiled Autopicker, which it said is the first commercially available AMR that can pick and consolidate orders directly in warehouse aisles.

Electric Sheep is Startup of the Year

San Francisco-based Electric Sheep’s unique business model allows it to bring in revenue as it takes its time deploying its technology. This business model led to it being named Startup of the Year.

Note that the rules for the RBR50 state that innovations have to be announced within the calendar year. Keep that in mind as your organization plans its product roadmap, and be sure to submit your nomination the next iteration of the RBR50 later this year.

Come celebrate at the 2024 RBR50 Gala

We introduced three new categories in 2024 – Robot of the Year, Application of the Year, and Startup of the Year – and will be holding the inaugural RBR50 Gala on May 1 from 6:00 to 8:00 p.m. at the end of Day 1 of the Robotics Summit & Expo.

The gala offers a chance to connect with the world’s leading robotics innovators. It’s also an evening of celebration to honor leading roboticists and their impressive achievements.

Tickets to the gala are available through Wednesday, April 17.

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The Phoenix humanoid robot is being developed to enable embodied AI and support general-purpose applications. | Credit: Sanctuary AI

Humanoid robot developer Sanctuary Cognitive Systems Corp., or Sanctuary AI, is entering a new strategic partnership with automotive components supplier Magna International Inc. Through this expanded partnership, Sanctuary plans to equip Magna’s manufacturing facilities with general-purpose AI robots.

The Vancouver-based company also plans to engage Magna to manufacture the Sanctuary Phoenix robots under contract in the future. Aurora, Ontario-based Magna has been an investor in Sanctuary AI since 2021, and it acquired autonomous vehicle startup Optimus Ride in 2022.

Yesterday’s announcement with Magna follows Accenture’s recent investment in Sanctuary for an undisclosed amount.

Phoenix includes human-like design, AI

“We founded Sanctuary AI with the goal to become the first organization in the world to create human-like AI,” stated Geordie Rose, co-founder and CEO of Sanctuary AI. “World-changing goals like these require world-changing partners.”

“Magna’s position as a world leader in the use of robots today makes this partnership an essential advancement for our mission,” he added. “We’re privileged to be working with Magna, and believe they will be a key element in the successful global deployment of our machines.”

Sanctuary Phoenix includes human-like dexterous hands and arms. Since it launched the robot in May 2023, the company has invested heavily in the development of manipulation capabilities, perception features, and artificial intelligence models that control the humanoid robot.

In December 2023, Sanctuary secured patents for numerous technologies developed both internally and through strategic acquisitions from external sources. The company acquired the latest assets from Giant.AI Inc. and Tangible Research.

Sanctuary is iterating on humanoid design by perfecting hand-eye coordination and AI model training. | Credit: Sanctuary AI

Sanctuary AI builds relationship with Magna

“The intent of the relationship [with Magna International] has always been threefold,” Rose told The Robot Report. “One is that they were an investor.”

“Another would be they would participate in manufacturing the robots at some point,” he said. “And the third would be there could be a consumer of the robots as a customer. So all of those three things are obviously related to each other. All of them are good for both parties.”

“So we’ve continued to impress [Magna] with our velocity and acceleration in terms of developing the technology from something that was a twinkle in our eyes six years ago to something that can actually perform real-world work tasks,” Rose noted.

The workflow opportunities for an agile humanoid at Magna are endless, according to Rose. “The key to getting a good fit in the short term is understanding how to overlap that type of analysis with the type of capability that you can deliver,” he said. “So this is a difficult thing for companies that are early stage, including us, because of the ‘drinking your own Kool-Aid’ phenomenon.”

“A lot of companies will release a whole bunch of hype both to their customers, their investors, and internally in themselves — they start to believe that they can do things they can’t, and they make bad decisions about how they position their technology,” Rose continued. “So we have to be clear-eyed about what’s actually possible with our [robot] and then be very diligent in trying to understand the details of how the workflow actually works in practice, and then overlap the two.”

“When you do that with this type of technology, what you find is that the first use cases all fall into the following categories: There is an aspect of mobility, that’s best treated with wheels, where the robot has to move from place to place within an environment. And then there’s the aspect of manipulation,” he explained.

Magna also said its team is excited about the possibilities for intelligent mobile manipulation. It said it expects to automate various tasks and to improve the quality and efficiency of its manufacturing and logistics processes.

“Magna is excited to partner with Sanctuary AI in our shared mission to advance the future of manufacturing,” said Todd Deaville, vice president of advanced manufacturing innovation at Magna. “By integrating general-purpose AI robots into our manufacturing facilities for specific tasks, we can enhance our capabilities to deliver high-quality products to our customers.”

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A key success factor for robotics startups

As Sanctuary AI begins the process of commercializing Phoenix, it plans to contract with Magna for the production of part or all of the robot going forward. Sanctuary asserted that finding the right manufacturing partner to build its robots at high volumes is best outsourced and that manufacturing should be non-core for any robotics startup.

Many robotics startups often fail when they attempt to manufacture their systems in-house, observed Rose. He said he has sought to find the right production partner since the inception of the company.

Sanctuary employs embodied AI and foundation models

Embodied AI is core to the future of Sanctuary AI, which said it is spending all of its intellectual energy on engineering and training the smartest models for these robots. Rose said he is amazed at the evolution of embodied AI over the past decade.

The real race, according to Rose, is to find a way to gather the immense amount of data needed and put the robot into the necessary training situations for the AI models to learn and grow in confidence.

This is where the enhanced relationship with Magna comes in. The product roadmap for the Sanctuary over the next year is to deploy all of the production runs of Phoenix robots into real-world manufacturing environments at Magna facilities. In simple terms, Phoenix will learn by executing tasks every day and gathering training data.

“In the run that we’re about to begin with Magna, we’ll be able to collect data in a commercial environment of the sort that will train a production robot,” Rose said. “So the progression of this, from our perspective, is the ability to collect training data to generate autonomous behaviors. The systems that we’re building this year are going to be consumed in data collection.”

In 2025, Sanctuary said it will iterate on a version of the robot for broader use and sale. Similar to the model used at Rose’s prior company, Kindred, there will be a human in the loop to help robots resolve edge cases while minimizing any impact on day-to-day operations.

Rose summed up the current state of development: “We can go from data collection to a trained policy in less than 24 hours now, where the train policy does as well or better than the people who are doing the task for simple tasks. So that is an amazing thing that I was not expecting — these new transformer-based models are spectacularly good at moving robots, way better than I thought they would be.”

“I think it’s an echo of my surprise that how well large language models can generate text; who would have thought that predicting the next token would allow you to be a coherent understander of the world?” he said. “But it seems like that’s the way they work. And in the space of moving robots, if you’ve got enough data, what can’t you do? You can just talk to the robot and say, ‘Do this thing,’ and it will just do it. It’s magical.”

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2023 was the year that humanoid robots took big strides onto the public stage, and Agility Robotics pulled ahead in that race with Digit, which is our first-ever RBR50 Robot of the Year.

At ProMAT last year, Digit stole the show by demonstrating its ability to pick up totes from a shelf, walk over to a conveyor, and place the totes onto the conveyor. At the time, Corvallis, Ore.-based Agility Robotics said the demo was based on a real customer use case.

Later in 2023, the company announced pilots with two major customers: Amazon and GXO Logistics, which claims to be the world’s largest pure-play contract logistics provider. Digit is 5 ft., 9 in (175cm) tall, weighs 143 lb. (64.8 kg), and can carry up to 35 lb. (18 kg).

In October, Amazon and Agility said the humanoid robot was being tested at Amazon’s robotics research and development facility outside of Seattle. The initial use of Digit is to help employees with tote recycling, a highly repetitive process of picking up and moving empty totes once inventory has been completely picked out of them.

In December 2023, GXO announced that Digit is being tested for logistics tasks at a SPANX facility in Georgia. Digit is moving totes filled with products off of autonomous mobile robots (AMRs) and onto a conveyor. Agility said at the time that Digit will communicate with the AMR fleet manager in the future.

Adrian Stoch, chief automation officer at GXO, said Digit’s potential flexibility gives it a nod over other types of robots, including AMRs with top modules.

“The real application here is end-to-end product flow throughout the warehouse,” he said. “Until now, solutions have been mostly discrete applications: goods-to-person, sorters, wearable tech. Solving discrete problems in one part of the puzzle.”

For companies operating fulfillment centers with a wide product mix or fluctuating demand, the potential flexibility of humanoids could help fill the ongoing labor crisis.

Agility Robotics recently launched Agility Arc, a cloud platform for managing operations, and it partnered with warehouse management systems (WMS) provider Manhattan Associates.

We’ve never seen a humanoid perform real tasks in a commercial setting, until now. Humanoids have long been relegated to research labs, but the goalposts began to seismically shift in 2023.

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See Agility at the Robotics Summit

Jonathan Hurst, co-founder and chief robot officer at Agility Robotics, will be keynoting the Robotics Summit & Expo, which takes place May 1 and 2 in Boston and is produced by The Robot Report and parent company WTWH Media. His talk, “Humanoid Robots Get to Work,” will explore the technological breakthroughs propelling humanoids like Digit into real-world use cases.

Agility Robotics will also be featured in the show’s RBR50 Showcase. Visit Booth 448 on the show floor to see Digit in action. The showcase will also feature technology from Boston Dynamics, Brightpick, Locus Robotics, and more.

You can also learn more about Agility Robotics and the rest of this year’s RBR50 award winners at the first-ever RBR50 Gala. At 6:00 p.m. EDT after Day 1 of the show, the ticketed reception will allow attendees to network with the people behind this year’s most innovative robots.

Registration is now open for the Robotics Summit & Expo.

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RB-Y1 mounts a humanoid-type double-arm robot on a wheeled, high-speed mobile base. | Credit: Rainbow Robotics

Rainbow Robotics announced the release of detailed specifications for the new RB-Y1 mobile robot. The company recently signed a memorandum of understanding with Schaeffler Group and the Korea Electronics Technology Institute, or KETI, to co-develop the RB-Y1 and other mobile manipulators in Korea.

What’s in a name: Wheeled humanoid? Bimanual manipulator?

The past year has seen an explosion in the growth of humanoids, where most of the robots are bipedal and walk on two legs. Likewise, there have been many recent releases of mobile manipulators, or autonomous mobile robots (AMRs) with a single arm manipulator on board the vehicle.

The RB-Y1 is a form of wheeled robot base with a humanoid double-arm robot on top. Rainbow Robotics’ robot uses that base to maneuver through its environment and position the arms for manipulation tasks. The company called this configuration a “bimanual manipulator.”

To perform various and complex tasks, both arms on the RB-Y1 are equipped with seven degrees of freedom and consist of a single torso with six axes that can move the body. With this kinematic configuration, it is possible to move more than 50 cm (19.7 in.) vertically, making it possible to perform tasks at various heights.

Learn from Agility Robotics, Amazon, Disney, Teradyne and many more.

Rainbow Robotics provides high-speed cornering

The maximum driving speed for the RB-Y1 is 2,500 mm/s (5.6 mph), and the company is claiming that the robot can accelerate quickly and turn at higher speeds by leaning the body into the turn. To avoid toppling while in motion, the center of gravity can be safely controlled by dynamically changing the height of the body.

The dimensions of the robots are 600 x 690 x 1,400 mm (23.6 x 27.2 x 55.1 in.), and the unit weighs 131 kg (288.8 lb.). The manipulators can each lift 3 kg (6.61 lb.).

At press time, there are not a lot of details about the robot’s ability to function using artificial intelligence, and one early video showed it working via teleoperation. It’s likely that the demonstrations in the video below are with remote operators.

However, Rainbow Robotics clearly has the goal of making its robot fully autonomous in the future, as more research, development, training, and simulation are completed.

“These days, when Generative AI such as ChatGPT and Figure is a hot topic in the robot industry, we have developed a bimanual mobile manipulator in line with the AI era,” stated a company spokesperson. “We hope that the platform will overcome the limitations of existing industrial robots and be used in many industrial sites.”

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Agility Arc is a cloud-based platform for managing fleets of humanoids. Source: Agility Robotics

Agility Robotics made a couple of strategic moves this week as it continues to commercialize its Digit humanoid. Let’s start with the good news.

Agility is partnering with Manhattan Associates, a global leader in supply chain and omnichannel commerce. There are a lot of warehouse management systems (WMS) on the market, but as one source told The Robot Report, Manhattan Associates is “the standard bearer when it comes to large 3PL operations.”

Agility is joining the Manhattan Value Partner (MVP) program and the Manhattan Automation Network for warehouse automation providers. Manhattan and Agility will integrate Digit and Agility Arc, the company’s new fleet management software introduced at MODEX 2024, with the Manhattan Active Warehouse Management solution.

WMS integration an important step for Digit

Integrating new tools with existing systems can be challenging for warehouse operators. Ensuring compatibility with the industry-leading WMS is an important first step for Digit.

“Digit is already the world’s only bipedal robot currently delivering useful work for customers, increasing productivity and safety while helping workers with difficult and repetitive tasks in warehouse and manufacturing operations,” stated Peggy Johnson, CEO of Agility Robotics. “We’re thrilled to partner with Manhattan to streamline adoption of Agility’s solutions into existing best practices and bring Digit to more warehouses around the world.”

Manhattan Associates said Agility is the first humanoid to join both the MVP and the Manhattan Automation Network. Manhattan has similar partnerships with Exotec, a provider of automated storage and retrieval systems (ASRS) and Locus Robotics, the leading developer of autonomous mobile robots (AMRs).

“Companies are under enormous pressure to deliver more products faster and more efficiently, while facing massive and growing labor shortages,” said Eric Lamphier, senior director of alliances for Manhattan Associates. “Innovative robotics solutions, like Digit, can help fill those gaps, connecting islands of automation and improving operational efficiency.”

“We’re proud to be the first WMS provider to partner with a humanoid robotics provider,” he added. “Together, Agility and Manhattan are making it easy for customers to integrate cutting-edge technology, like Digit and Agility Arc, into their warehouse workflows.”

Agility Arc is a new cloud-based platform designed to give customers better control and insight into their Digit humanoids. Users can monitor the status and performance of each Digit, create workcells and workflows, and assign new tasks to the robots.

Agility Robotics also now offers a few accessories for the Arc platform, including a charging dock, a control pendant, and a workcell that comes with guarding, e-stops, monitored entrances, and more. Since there are no safety standards yet for humanoids, these robots will need to be caged off as they initially make their way into the world.

Agility Robotics lays off staff

Now for the bad news. Agility laid off an unspecified number of employees yesterday. Now-former employees posted about the layoffs on social media, and The Robot Report confirmed the reduction in staff. The company sent the following statement:

“As part of Agility’s ongoing efforts to structure the company for success, we have parted ways with a small number of employees that were not central to core product development and commercialization. At the same time, we are focused on meeting the extraordinary demand for bipedal robots across industrial use cases. That means ramping up production of Digit while continuing to win top-tier global customers, and adding new roles that meet these goals. We believe today’s actions will allow us to focus on the areas that drive productization, commercialization, and production of Digit.”

Johnson was named CEO of Agility Robotics one month ago. The veteran technology leader most recently served as CEO of Magic Leap, which produces augmented reality headsets. She led the company’s shift from consumer to enterprise and helped recapitalize the company.

Before Magic Leap, Johnson spent six years as executive vice president of business development at Microsoft. She reported directly to CEO Satya Nadella and was responsible for driving strategic partnerships and transactions to accelerate growth for the company and its customers.

Agility Robotics co-founder Damion Shelton, who served as CEO since the company’s founding in 2015, is now the company’s president and part of Johnson’s leadership team.

Humanoid robot race continues to accelerate

As we’ve said repeatedly over the past year, the humanoid race is heating up. And moves like this partnership with Manhattan, coupled with its fleet management system, show that Agility is the humanoid developer most ready to take on real-world work. The company has piloted its Digit humanoid with Amazon and GXO Logistics.

There are several other humanoid developers entering early pilots with customers. Figure recently raised $675 million and is working with BMW. And Apptronik is working with Mercedes-Benz.

Of course, all these humanoids still need to prove their reliability. NVIDIA is trying to help with its new foundation model for humanoids, called GR00T, that is designed to bring robotics and embodied AI together.

Accenture is also getting in on the action. Last week, it announced a strategic investment in Sanctuary AI, which is developing the Phoenix humanoid. The amount of the funding was not disclosed.

“AI-powered humanoid robots are essential to reinventing work and supporting human workers as labor shortage is becoming an issue in many countries and industries,” said Accenture.

You can learn more about the state of humanoids at the Robotics Summit & Expo, which takes place May 1-2 in Boston and is produced by The Robot Report and parent company WTWH Media.

Jonathan Hurst, co-founder and chief robot officer of Agility Robotics, will deliver a keynote called “Humanoid Robots Get to Work.” It will explore the technological breakthroughs propelling humanoids like Digit into real-world use cases. Attendees can learn about the ongoing challenges and opportunities and will go inside Digit’s first pilots.

Learn from Agility Robotics, Amazon, Disney, Teradyne and many more.

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Here are the top 10 most popular stories on The Robot Report this past month. Subscribe to The Robot Report Newsletter or listen to The Robot Report Podcast to stay updated on the latest technology developments.

10. Robotics Engineering Career Fair to connect candidates, employers at Robotics Summit

The career fair will draw from the general robotics and artificial intelligence community, as well as from attendees at the Robotics Summit & Expo. Past co-located career fairs have drawn more than 800 candidates, and MassRobotics said it expects even more people at the Boston Convention and Exhibition Center this year. Read More

9. SMC adds grippers for cobots from Universal Robots

SMC recently introduced a series of electric grippers designed to be used with collaborative robot arms from Universal Robots. Available in basic and longitudinal types, SMC said the LEHR series can be adapted to different industrial environments like narrow spaces. Read More

8. Anyware Robotics announces new add-on for Pixmo unloading robots

Anyware Robotics announced in March 2024 an add-on for its Pixmo robot for truck and container unloading. The patent-pending accessory includes a vertical lift with a conveyor belt that is attached to Pixmo between the robot and the boxes to be unloaded. Read More

7. Accenture invests in humanoid maker Sanctuary AI in March 2024

In its Technology Vision 2024 report, Accenture said 95% of the executives it surveyed agreed that “making technology more human will massively expand the opportunities of every industry.” Well, Accenture put its money where its mouth is. Accenture Ventures announced a strategic investment in Sanctuary AI, one of the companies developing humanoid robots. Read More

6. Cambrian Robotics obtains seed funding to provide vision for complex tasks

Machine vision startup Cambrian Robotics Ltd. has raised $3.5 million in seed+ funding. The company said it plans to use the investment to continue developing its AI platform to enable robot arms “to surpass human capabilities in complex vision-based tasks across a variety of industries.” Read More

5. Mobile Industrial Robots launches MiR1200 autonomous pallet jack

Autonomous mobile robots (AMRs) are among the systems benefitting from the latest advances in AI. Mobile Industrial Robots at LogiMAT in March 2024 launched the MiR1200 Pallet Jack, which it said uses 3D vision and AI to identify pallets for pickup and delivery “with unprecedented precision.” Read More

4. Reshape Automation aims to reduce barriers of robotics adoption

Companies in North America bought 31,159 robots in 2023. That’s a 30% decrease from 2022. And that’s not sitting well with robotics industry veteran Juan Aparicio. After working at Siemens for a decade and stops at Ready Robotics and Rapid Robotics, Aparicio hopes his new startup Reshape Automation can chip away at this problem. Read More

3. Mercedes-Benz testing Apollo humanoid

Apptronik announced that leading automotive brand Mercedes-Benz is testing its Apollo humanoid robot. As part of the agreement, Apptronik and Mercedes-Benz will collaborate on identifying applications for Apollo in automotive settings. Read More

2. NVIDIA announces new robotics products at GTC 2024

The NVIDIA GTC 2024 keynote kicked off like a rock concert in San Jose, Calif. More than 15,000 attendees filled the SAP Arena in anticipation of CEO Jensen Huang’s annual presentation of the latest product news from NVIDIA. He discussed the new Blackwell platform, improvements in simulation and AI, and all the humanoid robot developers using the company’s technology. Read More

1. Schneider Electric unveils new Lexium cobots at MODEX 2024

In Atlanta, Schneider Electric announced the release of two new collaborative robots: the Lexium RL 3 and RL 12, as well as the Lexium RL 18 model coming later this year. From single-axis machines to high-performance, multi-axis cobots, the Lexium line enables high-speed motion and control of up to 130 axes from one processor, said the company. It added that this enables precise positioning to help solve manufacturer production, flexibility, and sustainability challenges. Read More

The post Top 10 robotics news stories of March 2024 appeared first on The Robot Report.

OmniOn supports multiple technologies, including robotics. Click here to enlarge. Source: OmniOn Power

As delivery robots and autonomous vehicles spread, much of the design and development attention has focused on safe navigation and obstacle detection, according to OmniOn Power Inc. However, they will also require reliable charging and communications infrastructure, it said.

“We’ve mainly seen mobile robots indoors in factories, warehouses, or even restaurants,” said Gopal Mitra, global segment leader for industrials at OmniOn. “2023 was a big year for cost optimization for robotics companies. They tried to address space challenges and labor shortages in e-commerce, and power supply for delivery robots outdoors is another real challenge.”

“We look at three basic technologies: cloud and edge computing, which need to be supported by 5G, and power,” he told The Robot Report. “OmniOn Power addresses high-voltage DC, outdoor installations, and products for onboard robotics, including mounted power that should be able to work with fluctuating voltages as batteries deplete.”

OmniOn spun out of ABB

Formerly known as ABB Power Conversion, AcBel Polytech Inc. acquired the division in July 2023 and renamed it OmniOn Power Inc. in October.

The Plano, Texas-based company gained telecommunications experience as a part of Bell Labs and was part of General Electric Co. and ABB Ltd. OmniOn claimed that its “reliable products, industry expertise, and partnerships are helping customers realize the full potential of 5G, supporting expansive data center demands, [and] powering Industry 4.0.”

“Our business has grown in the robotics space, partly because of the lack of innovation as a lot of folks focused on scaling up rather than introducing new designs,” Mitra said. “Channels are trying to adopt the right robots for ‘order online, pick up at store,’ direct fulfillment, and warehouses. The increasing amount of returns is also a big concern, and we’re addressing a $500 million portion of the total addressable market by optimizing for the cost of development and implementation.”

Learn from Agility Robotics, Amazon, Disney, Teradyne and many more.

Power innovations to enable autonomy

Batteries add weight to robots and drones, and they can be affected by extreme cold. OmniOn said that more innovation is needed.

“There are two schools of thought for batteries — they could be long-lasting, or you can go with capacitors,” said Mitra. “As for the environment, there’s the harmonics on the grid and temperature, which can be up to 120 to 130 degrees [Fahrenheit; 48.8 to 54.4 Celsius] in places like Dallas.”

“Cold is more of an issue on the battery side than the internals, where the 2% heat generated is usually enough to keep power electronics warm,” he added. “We’re looking at the optimal time to charge, as well as discharge and weight.”

“There have been a number of innovations in batteries,” Mitra noted. “Lithium-ion is very popular in robotics and electric vehicles, and sodium-ion and other polymers are being explored. How U.S. investment in the semiconductor industry responds to China’s prevalence will also affect innovation in the next 10 years. Some are now looking at vertical stacking for denser chips.”

“OmniOn already has engineers working on providing power supplies to telecom and 5G networks,” he said. “We’re enablers of autonomy.”

OmniOn is working on providing power and connectivity to delivery and warehouse robots. Source: Adobe Stock

Other considerations for robotics

Ways to increase robot uptime include hot-swappable batteries, software that directs opportunistic recharging, and persistent wired or wireless charging on embedded grids, mostly indoors.

“Cost is a big deal — wireless charging is usually near-field using inductive charging, which is very attractive for many robots but can be expensive,” said Mitra. “With contact-based charging, you don’t need a converter circuit onboard the robot.”

By contrast, farming equipment or robotic lawnmowers can have wireless docking, eliminating the risk of clippings getting into contacts, he said. Wireless charging pads throughout a warehouse or factory have a high installation cost but can reduce the weight of batteries and operational costs. All of these options require industry consensus to become more widespread, Mitra observed.

How much can fleet management software help with power?

“It depends on the type of fleet,” replied Mitra. “We’re maturing simple routing within the constraints of restaurants, but delivery robots and vehicles have variable package loads. On the software side, we’ll see the impact of artificial intelligence on warehouse management, from machine vision to order processing.” 

Mitra also said that distributed power generation from photovoltaic cells could change the cost of energy.

“There are lots of opportunities to improve overall efficiency, but it’s a chicken-and-egg problem — first, the application has to come,” he said. “In hardware, non-isolated board-mounted products are emerging.”

5G to play a role as edge/cloud computing shifts

“For delivery robots, most of the compute is onboard, with nearby 5G hubs enabling mesh networks,” Mitra explained. “Edge computing needs to be supported by a 5G backbone, and peer-to-peer networks can manage the load.”

While robots and autonomous vehicles (AVs) need onboard processing for a spatial understanding of their environments and to navigate complex surroundings, the delivery function and reporting would benefit from 5G, he said.

“Look at certain regions in San Francisco — AVs are limited to certain areas, where the routes are largely pre-programmed,” said Mitra. “Once we see a prevalence of 5G and edge computing, machine learning for transport will be more scalable.”

“We have an engagement with a robotics company working with a major retailer on managing inventory and goods-to-person materials handling in the warehouse. Multi-tenant warehouses are coming,” Mitra said. “In addition to automated storage and retrieval systems [ASRS], we’re looking at multi-robot scenarios in the parking lot for groceries.”

The BPS 48V stackable power system is designed for 5G systems. Source: OmniOn

AI, humanoids could create new demands

Growing interest in applying generative AI to robotics will also affect networking and power demands.

“They’re not talked about yet in the context of on-premise or edge computing, but it will be interesting to see if delivery robots get these capabilities,” Mitra said. “AI has helped industry understand the need for high-performance computing, which has put a lot of pressure on power-supply manufacturers for smaller, more efficient systems.”

Similarly, interest in mobile manipulation and the humanoid form factor will also intensify pressure on compute and power management.

“Even if you just put an articulated robot arm on a mobile base, stepper motors require eight times the current to start, just to change from static to movement,” said Mitra.

“We still don’t have a good solution for batteries that can support humanoids for the long term,” he asserted. “They’ll also need a power train that can handle a wide range of discharge, from walking to the necessary strength for lifting boxes.”

OmniOn said it expects the demand for delivery robots, automated warehouses, and connected infrastructure to grow at 12% to 14%. Power management may not be standardized, depending on the size of a robot and its number of sensors, and edge/cloud computing and different charging approaches will continue to evolve, said Mitra. 

“We’re excited see how wireless charging affects the robotics space,” he said. “While the cost has led to different adoption than initially expected, in the long term, the cost of infrastructure could be lower, and it could be more easily managed.”

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Our featured guest on the show this week is Jamie Lee, managing partner at Tamarack Global. Tamarack Global emerged on our radar last month as one of the investors who participated in the recent Series B funding round for Figure AI.

After meeting Lee for research for those news stories, we invited him to come onto the podcast and share his investment thesis and the reasons why they are so bullish about humanoids, Figure AI, and especially founder and CEO Brett Adcock.

The heart of Tamarack’s investment philosophy centers around investing in strong leaders who hire strong teams and build solutions for very large markets. But you’ll also learn about Jamie’s pragmatic philosophy for evaluating proposals and some of the danger signals that he looks for when evaluating a potential investment.

News from the week

Viam raised $45 million in Series B funding

Viam has been quiet after all of the news last year, but Viam is building a modular, interoperable, and open-source software platform that works across all hardware and any fleet of machines. Viam stated that the funding will enable it to accelerate partnerships, drive commercial innovation, and further develop its platform.

Accenture announced an investment in Sanctuary AI

Sanctuary is building humanoids with embodied intelligence and they’ve always tightly focused on hand-eye coordination and manipulation over the bipedal walking aspects of humanoid robots. The investment in Sanctuary is the latest move by Accenture to build out a robotics strategy.

In January 2024, Accenture and Mujin created a joint venture to help bring robotics to the manufacturing and logistics industries. Called Accenture Alpha Automation, the new venture is owned 70% by Accenture and 30% by Mujin. The new company, called Accenture Alpha Automation, combines Mujin’s industrial robotics expertise with Accenture’s digital engineering and manufacturing service, Industry X.

Sanctuary has published a series of videos of its robots “doing stuff” on YouTube. These videos illustrate the development path of the two-armed humanoid as well as the AI behind the robots’ decision-making.

NYC takes steps to allow robotaxis in NYC

New York took its first steps towards allowing robotaxis this week and announced new safety requirements and permitting guidelines for companies looking to test their self-driving cars on public roads. 

Even with the city’s newfound interest in testing, autonomous vehicle (AV) commercialization in New York is difficult. It is one of the hardest cities for AVs to navigate due to its pedestrian-filled streets, unpredictable vehicle traffic, and sensor-disrupting bright lights.

The post Team and TAM: the keys to investing in robotics appeared first on The Robot Report.

Sanctuary’s Phoenix humanoid is being developed to support a variety of tasks. | Credit: Sanctuary AI

In its Technology Vision 2024 report, Accenture said 95% of the executives it surveyed agreed that “making technology more human will massively expand the opportunities of every industry.” Well, today Accenture put its money where its mouth is. Accenture Ventures announced a strategic investment in Sanctuary AI, one of the companies developing humanoid robots.

The Robot Report reached out to Sanctuary to learn more about the investment but hadn’t heard back at press time. This article will be updated if more details are learned. Financial details of the investment were not disclosed.

Vancouver, Canada-based Sanctuary was founded in 2018 by Geordie Rose, Suzanne Gildert, Olivia Norton, and Ajay Agrawal. In December 2023, the company announced the acquisition of intellectual property from Giant.AI Inc. and Tangible Research to improve its touch and grasping technologies.

Humanoids are generating a lot of interest these days. Figure recently raised $675 million and is piloting its humanoid with BMW. Agility Robotics has piloted its Digit humanoid with Amazon and GXO Logistics. Apptronik recently announced a partnership with BMW. NVIDIA also announced a foundation model for humanoids, called GROOT, that is designed to bring robotics and embodied AI together.

Sanctuary focused on dexterous manipulation

While other humanoid developers have focused much of their energy on bipedal locomotion, Sanctuary has taken a different approach with its Phoenix robot. It believes object manipulation is the key to humanoid success in the market and has put most of its energy into hand-eye coordination and AI intelligence to support dexterous manipulation.

Sanctuary has published a series of videos of its robots “doing stuff” on YouTube (see video at the bottom of the story). These videos illustrate the development path of the two-armed humanoid as well as the AI behind the robots’ decision-making.

Powered by Carbon, Phoenix is now autonomously completing simple tasks at human-equivalent speed. This is an important step on the journey to full autonomy. Phoenix is unique among humanoids in its speed, precision, and strength, all critical for industrial applications. pic.twitter.com/bYlsKBYw3i

— Geordie Rose (@realgeordierose) February 28, 2024

“AI-powered humanoid robots are essential to reinventing work and supporting human workers as labor shortage is becoming an issue in many countries and industries,” said Joe Lui, Accenture’s global advanced automation and robotics lead. “Sanctuary AI’s advanced AI platform trains robots to react to their environment and perform new tasks with precision in a very short time. We see huge potential for their robots in post and parcel, manufacturing, retail, and logistics warehousing operations, where they could complement and collaborate with human workers and automate tasks that traditional robotics can’t.”

Building an AI brain

Phoenix is powered by Sanctuary’s AI control system, Carbon, which attempts to mimic subsystems found in the human brain. The approach taken by the company also seeks to make the AI actions explainable, as well as editable.

“Robots with human-like intelligence will completely transform the workforce of the future,” said Rose, chief executive officer and co-founder of Sanctuary AI. “By combining Accenture’s expertise in disruptive technology with Sanctuary AI’s industry-leading robotics, we can help some of the biggest companies in the world manage this change and provide the best solutions for its clients.”

Accenture’s growing robotics portfolio

The investment in Sanctuary is the latest move by Accenture to build out a robotics strategy. In January 2024, Accenture and Mujin created a joint venture to help bring robotics to the manufacturing and logistics industries. Called Accenture Alpha Automation, the new venture is owned 70% by Accenture and 30% by Mujin. The new company, called Accenture Alpha Automation, combines Mujin’s industrial robotics expertise with Accenture’s digital engineering and manufacturing service, Industry X.

Accenture Alpha Automation is located in Japan, which is a robotics powerhouse. Japan had the fourth-highest robot density of any country in 2022, according to the International Federation of Robotics. Robot density measures the number of operational industrial robots per 10,000 employees in a country.

Accenture has also built out robotics integration capabilities in recent years. In early 2021, Accenture acquired Pollux, a provider of industrial robotics and automation. This was Accenture’s first acquisition of the kind. At the time of the deal, Pollux had implemented more than 1,000 projects for manufacturing companies, primarily in Brazil. It said it has deployed 150-plus collaborative robots successfully throughout Brazil.

In 2022, Accenture acquired Eclipse Automation, a provider of custom automation and robotics solutions for manufacturing applications. Eclipse Automation creates automated manufacturing systems for life sciences, industrial equipment, automotive, energy and consumer goods companies.

The post Accenture invests in humanoid maker Sanctuary AI appeared first on The Robot Report.

Portescap and Kollmorgen will discuss motion control at the Robotics Summit & Expo. Credit: Adobe Stock

Portescap, a global leader in micro-motion solutions for the robotics industry, has announced that it will be exhibiting at the Robotics Summit & Expo in Boston from May 1-2, 2024.

The West Chester, Pa.-based company will exhibit at Booth 144 at the Boston Convention and Exhibition Center. Its team will show products for demanding robotics applications, including frameless motors and flat motors that can easily integrate with strain-wave gearing.

“Frameless motors bypass the use of a traditional housing with integrated bearings for direct integration into mechanical assemblies, enabling compactness, weight savings, and efficiency gains,” wrote Nicole Monaco, global marketing manager at Portescap. “Pairing flat motors with strain-wave gearing offers high reduction ratios, low backlash, and superior positional accuracy, offering exceptional torque and precise motion control for critical robotic applications.”

Founded in Switzerland in 1931, Portescap said its miniature motor technologies can support medical devices and various industrial applications such as aerospace. The company added that its brushless DC, brush DC, stepper can stack motors, disc magnet motors, and stepper linear actuators deliver motion in a compact package with high efficiency and low power consumption.

Portescap has manufacturing centers in the U.S. and India, and its product development network includes research and development centers in the U.S., China, India and Switzerland.

Portescap and Kollmorgen to discuss design for peak performance

Regal Rexnord acquired Portescap last year, and the company joined its Automation & Motion Control group. Kollmorgen, a fellow Regal Rexnord brand, will be exhibiting adjacent to Portescap at Booth 142 at the Robotics Summit & Expo.

Portescap and Kollmorgen will together present the topic: “Design for Peak Performance: Motion-Control System Selection in Next-Gen Robotics” on Wednesday, May 1, at 1:45 p.m. ET. Greg Harnsberger, senior manager for global industry marketing at Portescap, and Yoshi Umeno, industry manager at Kollmorgen, will discuss how to design robots for peak performance.

The speakers will discuss how to select the right motor, evaluate the latest innovations, and integrate technologies. They will also present real-world case studies on how motion control enables everything from surgical robotics to humanoids.

To learn more about Portescap and its micro-motion systems, visit www.portescap.com or contact it at portescap.sales.america@regalrexnord.com. The DMA News Portal hosts its press releases.

About the 2024 Robotics Summit & Expo

This will be the largest Robotics Summit & Expo ever. It will include up to 5,000 attendees, more than 200 exhibitors, various networking opportunities, a Women in Robotics breakfast, a career fair, an engineering theater, a startup showcase, and more!

New to the event is the RBR50 Robotics Innovation Awards Gala. The event will include a cocktail hour, plated dinner, photo opportunities, and the chance to hear from the Robot of the Year, Startup of the Year, and Application of the Year winners.

Each RBR50 winner will receive two complimentary tickets to the Robotics Summit and RBR50 gala. A limited number of tickets is available to attendees, but they’re selling fast!

The Robotics Summit will be co-located with DeviceTalks, an event focused on medical devices, and the inaugural Digital Transformation Forum. Registration is now open for the event.

Learn from Agility Robotics, Amazon, Disney, Teradyne and many more.

The post Portescap to be a featured exhibitor and speaker at Robotics Summit & Expo 2024 appeared first on The Robot Report.

NVIDIA CEO Jensen Huang (left) with the Apollo humanoid robot. Source: Apptronik

SAN JOSE, Calif. — Among the highlights of GTC this week was the convergence of artificial intelligence and humanoid robotics. Apptronik Inc. announced that it working to integrate its Apollo humanoid robot with Project GR00T, NVIDIA Corp.’s new general-purpose foundation model for robot learning.

“The world is designed for humans — so it makes sense that humanoid robots are the type of robot best equipped to navigate, adapt, and interact with it,” said the Austin, Texas-based company. “Furthermore, humanoid robots comprise the ideal hardware for learning general-purpose skills by observing human demonstrations.”

“The combination of Apollo and Project GR00T will enable developers to take text, video, and human demonstrations as task prompts, learn generalizable skills like coordination and dexterity, and generate actions as output on the robot hardware,” Apptronik asserted. “Instead of simply repeating the actions in the training data, Apollo will recognize the environment and predict what to do next to achieve its goal.”

Apptronik said it is working to make possible a future where humanoid robots improve how people live and work. In his GTC keynote, NVIDIA CEO Jensen Huang included an example of this type of learning. He showed how Apollo, through its integration with the GR00T foundation models, learned how to autonomously operate a juicer and serve juice.

Learn from Agility Robotics, Amazon, Disney, Teradyne and many more.

Apptronik iterates humanoid robot design

Apptronik spun out of the Human Centered Robotics Lab at the University of Texas at Austin in 2016. The company‘s stated mission is to use innovative technology for the betterment of society. It added that Apollo is the culmination of the design and development of 10 robots designed to work in environments designed for people.

Those robots ranged from industrial robot arms and exoskeletons to bipedal mobility platforms, as well as extensive work on NASA Valkyrie. In August 2023, Apptronik launched Apollo, which it designed for friendly interaction, mass manufacturability, and safety.

The company claimed that its design provides scalability, cost, power efficiency, manufacturability, and supply chain resilience. Apollo uses linear actuators rather than rotary ones, copying how human muscles work.

The robot’s force-control architecture is intended to maintain safe arm movement around people, similar to a collaborative robot in comparison with an industrial robot arm. Apollo’s modular design allows its humanoid upper body to be deployed on legs, a wheeled base, or a pedestal so it can operate in whichever form is best suited to a given task, said Apptronik.

Apollo’s hot swappable batteries, each with a four-hour runtime, eliminate the need for a plug-in charge, the company added. This gives it more operational time than other humanoid robots, it asserted.

“Apollo represents a novel approach to humanoid robot design and is purpose-built to break through the technological and performance ceilings that have prevented past generations of humanoid robots from making a significant impact,” said Apptronik. “This allows for a new level of function, efficiency, and scale, along with a force-control architecture that makes it possible for Apollo to operate side by side with people and perform useful tasks.”

NVIDIA Project GR00T gives Apollo agility

Apollo’s main computing system includes onboard NVIDIA Jetson AGX Orin and Jetson Orin NX modules. They enable the AI-powered robot to efficiently use models such as the new GR00T foundation models to perform a wide variety of tasks, while its humanoid form allows it to learn from human demonstrations, said Apptronik and NVIDIA.

The integration of NVIDIA’s hardware and software with Apollo will help Apptronic accelerate skill development for general-purpose robots, the companies noted. Apptronik plans to rely on NVIDIA’s AI portfolio for humanoid robots, including GR00T, Isaac Lab, and the OSMO compute orchestration service announced at GTC.

“Generative AI is currently used to generate text, images, and video,” stated Jeff Cardenas, co-founder and CEO of Apptronik. “The next frontier is to leverage these AI tools to generate intelligent humanoid robot behavior.”

“In addition to our internal efforts, our collaboration with NVIDIA will combine the superior hardware design of our Apollo humanoid robot with NVIDIA-powered multimodal learning from demonstration – particularly video demonstration,” he explained. “We believe this combination has the potential to change the world and benefit all of humanity.”

Last week, Apptronik announced that Mercedes-Benz was testing Apollo for automotive manufacturing applications.

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NVIDIA CEO Jenson Huang ended his GTC 2024 keynote backed by life size images of all of the various humanoids in development and powered by the Jetson Orin computer. | Credit: Eugene Demaitre

SAN JOSE, Calif. — The NVIDIA GTC 2024 keynote kicked off like a rock concert yesterday at the SAP Arena. More than 15,000 attendees filled the arena in anticipation of CEO Jensen Huang’s annual presentation of the latest product news from NVIDIA.

To build the excitement, the waiting crowd was mesmerized by an interactive and real-time generative art display running live on the main stage screen, driven by the prompts of artist Refik Anadol Dustio.

New foundation for humanoid robotics

The big news from the robotics side of the house is that NVIDIA launched a new general-purpose foundation model for humanoid robots called Project GR00T. This new model is designed to bring robotics and embodied AI together while enabling the robots to understand natural language and emulate movements by observing human actions.

Project GR00T training model. | Credit: NVIDIA

GR00T stands for “Generalist Robot 00 Technology,” and with the race for humanoid robotics heating up, this new technology is intended to help accelerate development. GR00T is a large multimodal model (LMM) providing robotics developers with a generative AI platform to begin the implementation of large language models (LLMs).

“Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today,” said Huang. “The enabling technologies are coming together for leading roboticists around the world to take giant leaps towards artificial general robotics.”

GR00T uses the new Jetson Thor

As part of its robotics announcements, NVIDIA unveiled Jetson Thor for humanoid robots, based on the NVIDIA Thor system-on-a-chip (SoC). Significant upgrades to the NVIDIA Isaac robotics platform include generative AI foundation models and tools for simulation and AI workflow infrastructure.

The Thor SoC includes a next-generation GPU based on NVIDIA Blackwell architecture with a transformer engine delivering 800 teraflops of 8-bit floating-point AI performance. With an integrated functional safety processor, a high-performance CPU cluster, and 100GB of Ethernet bandwidth, it can simplify design and integration efforts, claimed the company.

Project GR00T, a general-purpose multimodal foundation model for humanoids, enables robots to learn different skills. | Credit: NVIDIA

NVIDIA showed humanoids in development with its technologies from companies including 1X Technologies, Agility Robotics, Apptronik, Boston Dynamics, Figure AI, Fourier Intelligence, Sanctuary AI, Unitree Robotics, and XPENG Robotics.

“We are at an inflection point in history, with human-centric robots like Digit poised to change labor forever,” said Jonathan Hurst, co-founder and chief robot officer at Agility Robotics. “Modern AI will accelerate development, paving the way for robots like Digit to help people in all aspects of daily life.”

“We’re excited to partner with NVIDIA to invest in the computing, simulation tools, machine learning environments, and other necessary infrastructure to enable the dream of robots being a part of daily life,” he said.

NVIDIA updates Isaac simulation platform

The Isaac tools that GR00T uses are capable of creating new foundation models for any robot embodiment in any environment, according to NVIDIA. Among these tools are Isaac Lab for reinforcement learning, and OSMO, a compute orchestration service.

Embodied AI models require massive amounts of real and synthetic data. The new Isaac Lab is a GPU-accelerated, lightweight, performance-optimized application built on Isaac Sim for running thousands of parallel simulations for robot learning.

NVIDIA software — Omniverse, Metropolis, Isaac and cuOpt — combine to create an ‘AI gym’
where robots, AI agents can work out and be evaluated in complex industrial spaces. | Credit: NVIDIA

To scale robot development workloads across heterogeneous compute, OSMO coordinates the data generation, model training, and software/hardware-in-the-loop workflows across distributed environments.

NVIDIA also announced Isaac Manipulator and Isaac Perceptor — a collection of robotics-pretrained models, libraries and reference hardware.

Isaac Manipulator offers dexterity and modular AI capabilities for robotic arms, with a robust collection of foundation models and GPU-accelerated libraries. It can accelerate path planning by up to 80x, and zero-shot perception increases efficiency and throughput, enabling developers to automate a greater number of new robotic tasks, said NVIDIA.

Among early ecosystem partners are Franka Robotics, PickNik Robotics, READY Robotics, Solomon, Universal Robots, a Teradyne company, and Yaskawa.

Isaac Perceptor provides multi-camera, 3D surround-vision capabilities, which are increasingly being used in autonomous mobile robots (AMRs) adopted in manufacturing and fulfillment operations to improve efficiency and worker safety. NVIDIA listed companies such as ArcBest, BYD, and KION Group as partners.

Learn from Agility Robotics, Amazon, Disney, Teradyne and many more.

‘Simulation first’ is the new mantra for NVIDIA

A simulation-first approach is ushering in the next phase of automation. Real-time AI is now a reality in manufacturing, factory logistics, and robotics. These environments are complex, often involving hundreds or thousands of moving parts. Until now, it was a monumental task to simulate all of these moving parts.

NVIDIA has combined software such as Omniverse, Metropolis, Isaac, and cuOpt to create an “AI gym” where robots and AI agents can work out and be evaluated in complex industrial spaces.

Huang demonstrated a digital twin of a 100,000-sq.-ft, warehouse — built using the NVIDIA Omniverse platform for developing and connecting OpenUSD applications — operating as a simulation environment for dozens of digital workers and multiple AMRs, vision AI agents, and sensors.

Each mobile robot, running the NVIDIA Isaac Perceptor multi-sensor stack, can process visual information from six sensors, all simulated in the digital twin.

Image depicting AMR and a manipulator working together to
enable AI-based automation in a warehouse powered by NVIDIA Isaac. | Credit: NVIDIA

At the same time, the NVIDIA Metropolis platform for vision AI can create a single centralized map of worker activity across the entire warehouse, fusing data from 100 simulated ceiling-mounted camera streams with multi-camera tracking. This centralized occupancy map can help inform optimal AMR routes calculated by the NVIDIA cuOpt engine for solving complex routing problems.

cuOpt, an optimization AI microservice, solves complex routing problems with multiple constraints using GPU-accelerated evolutionary algorithms.

All of this happens in real-time, while Isaac Mission Control coordinates the entire fleet using map data and route graphs from cuOpt to send and execute AMR commands.

NVIDIA DRIVE Thor for robot axis

The company also announced NVIDIA DRIVE Thor, which now supersedes NVIDIA DRIVE Orin as a SoC for autonomous driving applications.

Multiple autonomous vehicles are using NVIDA architectures, including robotaxis and autonomous delivery vehicles from companies including Nuro, Xpeng, Weride, Plus, and BYD.

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