NVIDIA's CUDA-accelerated robot library: collision-free motion generation in tens of milliseconds via massively parallel trajectory optimization, GPU IK and MPC — the engine behind Isaac ROS cuMotion for reactive industrial manipulation.
NVIDIA's CUDA-accelerated robot library: collision-free motion generation in tens of milliseconds via massively parallel trajectory optimization, GPU IK and MPC — the engine behind Isaac ROS cuMotion for reactive industrial manipulation.
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cuRobo is a CUDA-accelerated library of robotics primitives — batched forward/inverse kinematics, collision checking against meshes, cuboids and nvblox ESDFs, numerical integration and trajectory optimization — composed into a motion-generation pipeline that plans collision-free, time-optimized manipulator trajectories roughly 60x faster than CPU state-of-the-art. It seeds a particle-based optimizer and parallel L-BFGS across thousands of GPU threads, and also offers model-predictive control (MPPI) for reactive behavior. Distributed under Apache-2.0, it integrates with PyTorch/warp, Isaac Sim, and ships in production form as Isaac ROS cuMotion for ROS 2.
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