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…that are parallelized on the GPU, while the gradients of the inputs with respect to the outputs of such routines are automatically derived from analyzing the abstract syntax tree (AST) of the simulation code. Through gradient-based optimization algorithms, the NVIDIA and USC researchers automatically tuned the simulation parameters to achieve a close match between the simulator and real-world measurements. In…
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…all of the advancements in GPU-enabled edge AI and computing, vendors are coming up with some truly innovative and safe new robots. Kamlager: Ours, of course! The full-stack technology approach RIOS offers enables customers to go to a single provider for AI-powered robotics with robots-as-a-service [RaaS]. It seems like AGV [automated guided vehicle] providers have figured out a way to…
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…breakthroughs was the development of GPUs (Graphical Processing Units), which expanded the typical functions of CPUs. Big Data Supply chain and logistics companies produce and can use, a lot of data (big data), and AI requires significant volumes of it to show its full power. In the past several years, some new types of data have emerged, and in addition…
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…that its graphics processing unit (GPU)-accelerated GEMs enable visual odometry, depth perception, 3D scene reconstruction, and localization and planning. Robotics developers can use the tools to swiftly engineer systems for a range of applications, it said. “With an enhanced SDG [synthetic data generation], improved ROS support, and new sensor models for generative AI, Isaac accelerates AI for the ROS community,”…
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…PickOne iPC runs off one GPU, allowing the system to process images faster than generalized AI. “We deal on the order of 10s of milliseconds,” Nieves said. “I don't have to have a constellation of computational power.” But it takes more than Goldilocks-sized computing to speed up pick cycles. Plus One exclusively deploys camera-off-robot hardware placement for image acquisition. After…
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…in prizes, including NVIDIA A6000 GPUs and $2,500 (U.S.) cash. The story behind BenchBot BenchBot addressed a need in our semantic scene understanding research. We’d hosted an object-detection challenge and produced novel evaluation metrics, but we needed to expand this work to the robotics domain: What is understanding a scene? How can the level of understanding be evaluated? What role…
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
Look beyond the headlines for the latest in humanoid robots