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NVIDIA Explains How Simulation Accelerates Robot Development, Training

Found in Robotics News & Content, with a score of 0.32

…opportunities. In 2021, a team of researchers from NVIDIA, University of Southern California, University of Washington, University of Toronto and Vector Institute, and University of Sydney won “Best Student Paper” at the Robotics: Science and Systems conference. The work, titled DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting, detailed a “differentiable simulator” for teaching robots to cut soft materials. Previously, robots trained in this area were unreliable. The DiSECt simulator can accurately predict the forces on a knife as it presses and slices through common biological materials. DiSECt relies on the finite element method, which is used for solving…

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