Teradyne partners with NVIDIA to add AI to cobots

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Common Robots cobots are gaining precision due to a collaboration with NVIDIA. Supply: Teradyne Robotics

SAN JOSE, Calif. — Synthetic intelligence is already making robots smarter. Teradyne Robotics introduced at GTC 2024 a collaboration with NVIDIA so as to add new AI capabilities to collaborative and cellular robots.

North Studying, Mass.-based Teradyne owns collaborative robotic maker Common Robots A/S (UR) and autonomous cellular robotic (AMR) firm Cell Industrial Robots A/S (MiR), each of that are in Odense, Denmark.

“That is the primary of a collection of deliberate AI choices by Teradyne Robotics,” acknowledged Ujjwal Kumar, group president of Teradyne Robotics. “By including high-performance compute hardware to our management programs, in addition to investing in focused upgrades to our software program stacks, we’re investing to determine UR and MiR as the popular robotics platforms for growing and deploying AI functions.”

“We’re working to form the way forward for robotics by combining NVIDIA’s state-of-the-art AI platform with Teradyne Robotics’ real-world area experience in industrial automation,” he added. “We’re creating the platform for brand new options to beforehand unsolvable issues.”

Kumar will ship a keynote on the Robotics Summit & Expo in Boston in Might.

Common Robots integrates accelerated computing

Common Robots is demonstrating at this week’s GPU Expertise Convention (GTC) an autonomous inspection system utilizing its cobot arms and AI. The corporate has built-in NVIDIA accelerated computing into its cobots for path planning 50 to 80 occasions sooner than as we speak’s functions.

“NVIDIA has been working with Common Robots for 3 years,” Kumar defined to Collaborative Robotics Traits. “Its researchers have been used to the UR cobots, that are inherently secure and thus good for testing AI.”

“Whereas the Microsofts and Googles of the world might personal digital AI, NVIDIA desires to be the market chief in bodily AI, as CEO Jensen Huang talked about in his keynote,” he mentioned. “In digital AI, 90% is perhaps OK for a picture or textual content generated with AI, however that’s not enough in the actual world. Teradyne has expertise with high quality and reliability.”

The companions mentioned the appliance combines the next to extend effectivity for automation clients:

The mix of cuMotion, PolyScope X, and the UR cobot makes attainable a spread of functions that have been beforehand not possible to automate absolutely, based on the companions. It could actually additionally enhance current programming ideas.

Teradyne and NVIDIA cited advantages together with ease of programming and decrease computation time for planning, optimizing, and executing trajectories. For purchasers, this know-how can simplify the setup of widespread industrial functions, facilitating robotic adoption for high-mix, low-volume situations.

Not solely can cuMotion permit automated calculation of path planning for collision-free trajectories, nevertheless it additionally allows path optimization for different standards akin to velocity, minimal put on, or power effectivity, based on Common Robots.

On the GTC demonstration, The Robotic Report watched the cobot-mounted digital camera transfer to examine a workpiece that was randomly reoriented. It did so routinely, and a digital twin mirrored its maneuvers.

For the inspection utility, customers can load CAD recordsdata for as much as 20 elements with related take a look at procedures. NVIDIA’s know-how allows the robotic to establish every half and process and conduct path planning accordingly, defined Andrew Pether, principal innovation analysis engineer at Common Robots. He mentioned the mix of cuMotion on AGX Orin for dynamic positioning, Isaac Sim for digital twins of the present state and trajectories can enhance inspections for automotive, massive electronics, and “white items”/home equipment producers.

The UR inspection demo at GTC 2024.
The Common Robots inspection demo at GTC 2024. Credit score: Eugene Demaitre

Teradyne, NVIDIA count on AI robotics apps to develop

Cell Industrial Robots additionally introduced the MiR1200 Pallet Jack, which makes use of the NVIDIA Jetson AGX Orin module for AI-powered pallet detection. This allows it to establish and exactly transfer objects, navigate autonomously, and function in complicated manufacturing facility and warehouse environments.

“There are two sorts of employees in factories or warehouses — these in static cells or who’re transferring,” mentioned Kumar. “We have now robots to assist each types of duties. Cell robots and cobots may collectively meet wants in welding, semiconductors, and extra.”

Teradyne famous that autonomous inspection and the autonomous pallet dealing with are two use instances with important potential for scalability. The MiR1200 Pallet Jack and UR’s cuMotion demo are the 2 most up-to-date examples of “bodily AI” options, with others already obtainable by way of Teradyne Robotics’ ecosystem companions, OEMs, and finish customers.

“NVIDIA’s Isaac platform is enabling elevated autonomy in robotics with speedy developments in simulation, generative AI, basis fashions and optimized edge compute,” mentioned Deepu Talla, vp of robotics and edge computing at NVIDIA. “This collaboration with Teradyne Robotics will convey the facility of AI and accelerated computing to quickly rising cobot and AMR markets.”

The MiR1200 Pallet Jack has enhanced autonomy thanks to NVIDIA AI.
The MiR1200 Pallet Jack has enhanced autonomy due to NVIDIA AI. Supply: Teradyne Robotics

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