cuTAMP: Differentiable GPU-Parallelized Task and Motion Planning
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Updated
May 30, 2026 - Python
cuTAMP: Differentiable GPU-Parallelized Task and Motion Planning
Example manipulation behaviors using behavior trees, as well as Docker workflows in ROS2 based projects.
Mixed Palletizing with Explainable Visual Reasoning
GPU-accelerated robot motion planning on Apple Silicon. Port of NVIDIA cuRobo (CUDA) to MLX — real-time collision-free trajectory generation on M-series Macs.
Development of an end-to-end robotic manipulation pipeline using ROS 2, Isaac Sim, and the Unitree G1 humanoid. The system performs semantic object detection, grasp prediction, collision-aware motion planning, and autonomous pick-and-place for supermarket shelf automation.
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