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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 cell robots.
North Studying, Mass.-based Teradyne owns collaborative robotic maker Common Robots A/S (UR) and autonomous cell 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 methods, in addition to investing in focused upgrades to our software program stacks, we’re investing to ascertain UR and MiR as the popular robotics platforms for creating and deploying AI purposes.”
“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 spanking new options to beforehand unsolvable issues.”
Kumar will ship a keynote on the Robotics Summit & Expo in Boston in Could.
Common Robots integrates accelerated computing
Common Robots is demonstrating at this week’s GPU Technology Convention (GTC) an autonomous inspection system utilizing its cobot arms and AI. The company has built-in NVIDIA accelerated computing into its cobots for path planning 50 to 80 instances quicker than at present’s purposes.
“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 needs to be the market chief in bodily AI, as CEO Jensen Huang talked about in his keynote,” he mentioned. “In digital AI, 90% could be OK for a picture or textual content generated with AI, however that’s not adequate in the true 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 potential a spread of purposes that have been beforehand not possible to automate absolutely, based on the companions. It could possibly additionally enhance present programming ideas.
Teradyne and NVIDIA cited advantages together with ease of programming and decrease computation time for planning, optimizing, and executing trajectories. For patrons, this expertise can simplify the setup of frequent industrial purposes, facilitating robotic adoption for high-mix, low-volume situations.
Not solely can cuMotion enable automated calculation of path planning for collision-free trajectories, however it additionally allows path optimization for different standards resembling velocity, minimal put on, or vitality effectivity, based on Common Robots.
On the GTC demonstration, The Robotic Report watched the cobot-mounted digicam transfer to examine a workpiece that was randomly reoriented. It did so mechanically, and a digital twin mirrored its maneuvers.
For the inspection software, customers can load CAD information for as much as 20 components with related take a look at procedures. NVIDIA’s expertise allows the robotic to determine every half and process and conduct path planning accordingly, defined Andrew Pether, principal innovation analysis engineer at Common Robots. He mentioned the mixture 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.
Teradyne, NVIDIA count on AI robotics apps to develop
Mobile Industrial Robots additionally introduced the MiR1200 Pallet Jack, which makes use of the NVIDIA Jetson AGX Orin module for AI-powered pallet detection. This permits it to determine and exactly transfer objects, navigate autonomously, and function in advanced manufacturing facility and warehouse environments.
“There are two sorts of employees in factories or warehouses — these in static cells or who’re shifting,” mentioned Kumar. “We’ve robots to assist each kinds 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 via Teradyne Robotics’ ecosystem companions, OEMs, and finish customers.
“NVIDIA’s Isaac platform is enabling elevated autonomy in robotics with fast developments in simulation, generative AI, basis fashions and optimized edge compute,” mentioned Deepu Talla, vice chairman of robotics and edge computing at NVIDIA. “This collaboration with Teradyne Robotics will carry the ability of AI and accelerated computing to quickly rising cobot and AMR markets.”
