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NVIDIA, Teradyne Robotics, and Siemens talk about autonomous machines and AI

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Senior executives from NVIDIA, Siemens, and Teradyne Robotics gathered this week in Odense, Denmark, to mark the launch of Teradyne Robotics’ new headquarters and talk about the advances coming to the robotics business.

One among Denmark’s oldest cities and often called “town of robotics,” Odense is dwelling to greater than 160 robotics firms with 3,700 workers and mentioned it contributes to the robotics business’s progress.

Teradyne Robotics’ new hub there contains collaborative robotics chief Common Robots (UR) and autonomous cellular robotic (AMR) firm Cellular Industrial Robots (MiR). The firm mentioned it’ll assist maximize worker collaboration, foster innovation, and supply an surroundings to revolutionize superior robotics and autonomous machines.

The grand opening showcased the most recent AI robotic purposes and featured a panel dialogue on the way forward for superior robotics. Audio system included Ujjwal Kumar, group president of Teradyne Robotics; Rainer Brehm, CEO of Siemens Manufacturing unit Automation; and Deepu Talla, vp of robotics and edge computing at NVIDIA.

“The arrival of generative AI, coupled with simulation and digital twins know-how, is at a tipping level proper now, and that mixture goes to alter the trajectory of robotics,” commented Talla.

Panelists tout the facility of partnerships

The occasion occurred as the worldwide robotics market continues to develop quickly. The cobot market in Europe was valued at $286 million in 2022 and is projected to succeed in $6.7 billion by 2032 at an annual development fee of greater than 37%, in accordance with Statzon.

The panelists mentioned why teaming up is essential to innovation for any firm — whether or not a startup or an enterprise. In addition they talked about how bodily AI is getting used throughout companies and workplaces, stressing the game-changing affect of superior robotics.

The alliance between NVIDIA and Teradyne Robotics, which incorporates an AI-based intralogistics system alongside Siemens, showcases the energy of collaboration throughout the ecosystem. NVIDIA mentioned its outstanding function as a bodily AI {hardware} supplier is boosting the cobot and AMR sectors with accelerated computing, whereas its collaboration with Siemens is remodeling industrial automation.

“NVIDIA gives all of the core AI capabilities that get built-in into the lots of and hundreds of firms constructing robotic platforms and robots, so our method is 100% collaboration,” Talla mentioned.

“What excites me most about AI and robots is that collaboration is on the core of fixing our clients’ issues,” Kumar added. “Nobody firm has all of the applied sciences wanted to handle these issues, so we should work collectively to grasp and resolve them at a really quick tempo.”

Left to right: Fleur Nielsen, head of communications at Universal Robots; Deepu Talla, head of robotics at NVIDIA; Rainer Brehm, CEO of Siemens Factory Automation; and Ujjwal Kumar, president of Teradyne Robotics.

From left to proper: Fleur Nielsen, head of communications at Common Robots; Deepu Talla, head of robotics at NVIDIA; Rainer Brehm, CEO of Siemens Manufacturing unit Automation; and Ujjwal Kumar, president of Teradyne Robotics. | Supply: NVIDIA, Steffen Stamp

AI to speed up innovation 

AI has already made large strides throughout industries and performs an essential function in enhancing superior robotics, mentioned NVIDIA, Teradyne, and Siemens. Leveraging machine studying, pc imaginative and prescient and pure language processing, AI provides robots the cognitive functionality to grasp, be taught and make selections.

“For people, we’ve got our senses, but it surely’s not that straightforward for a robotic, so it’s important to construct these AI capabilities for autonomous navigation,” Talla mentioned. “NVIDIA’s Isaac platform is enabling elevated autonomy in robotics with fast developments in simulation, generative AI, basis fashions, and optimized edge computing.”

NVIDIA is working carefully with Common Robots to infuse AI into UR’s robotics software program. Within the case of AMRs that transfer issues from Level A to B to C, it’s all about working in unstructured environments and navigating autonomously, mentioned Talla.

Brehm emphasised the necessity to scale AI by industrializing it, permitting for automated deployment, inference, and monitoring of fashions — making AI simply accessible on the shopfloor. He spoke about empowering clients to make the most of AI effortlessly, even with out AI experience.

“Our purpose is to advance automation, transferring in the direction of a system that leverages skills-based automation sooner or later,” Brehm mentioned.

As a number one robotics firm with one of many largest put in bases of cobots and AMRs, Teradyne has recognized an extended checklist of business issues and is working with NVIDIA to unravel them.

“I take advantage of the time period ‘bodily AI’ versus ‘digital AI’ as a result of we’re taking AI to a complete new degree by making use of it within the bodily world,” mentioned Kumar, who delivered a keynote on the Robotics Summit & Expo earlier this month. “We see it serving to our clients in 3 ways: including new capabilities to our robots, making our robots smarter with superior path planning and navigation, and additional enhancing the security and reliability of our collaborative robots.”

Robotics has a real-world affect, say Teradyne, NVIDIA, and Siemens

Autonomous machines, or AI robots, are already making a noticeable distinction in the true world, from industries to folks’s day by day lives. Industries akin to manufacturing are utilizing superior robotics to reinforce effectivity, accuracy, and productiveness.

Firms wish to produce items near the place they’re consumed, with sustainability being a key driver, famous the audio system. However this typically means establishing store in high-cost international locations. The problem is twofold: producing at aggressive costs and coping with shrinking, getting older workforces which can be much less accessible for manufacturing facility jobs.

“The issue for giant producers is identical as what small and medium producers have at all times confronted: variability,” Kumar mentioned. “Excessive-volume industrial robots don’t go well with purposes requiring steady design tweaks. Collaborative robots mixed with AI provide options to the ache factors that small and medium clients have lived with for years, and to the brand new challenges now confronted by giant producers.”

Automation isn’t nearly making issues sooner; it’s additionally about benefiting from the workforce, defined Teradyne Robotics, NVIDIA, and Siemens. In manufacturing, automation can support smoother processes, ramps up security, saves time and relieves stress on workers.

“Automation is essential for fixing issues and, to get there, AI is a game-changer,” Brehm mentioned. “If you happen to don’t have the individuals who wish to work within the manufacturing facility, and also you don’t have the folks to program the automation, you gained’t have the flexibleness to automate what you want sooner or later. And that’s what drives our clients.”

AI and computing applied sciences are set to redefine the robotics panorama, remodeling robots from mere instruments to clever companions able to autonomy and flexibility throughout industries, mentioned the panelists.

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Gerard Andrews, NVIDIAIn regards to the writer

Gerard Andrews is a senior product advertising supervisor targeted on the robotics developer neighborhood. Previous to becoming a member of NVIDIA, he was at Cadence, the place he was product advertising director, liable for product planning, advertising, and enterprise improvement for licensable processor IP. Andrews holds an M.S. in electrical engineering from Georgia Institute of Know-how and a B.S. in electrical engineering from Southern Methodist College.



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