Contact-grounded SE(3)-equivariant dexterous grasp generative flows
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Updated
Jun 16, 2026 - Python
Contact-grounded SE(3)-equivariant dexterous grasp generative flows
simple program to move robotic hand Lynxmotion AL5D with human hands through Leap Motion sensor
A reinforcement learning pipeline for dexterous grasping with the 16-DOF LEAP Hand in MuJoCo. Features a custom Gymnasium environment, PPO training via Stable Baselines 3, and a documented reward engineering curriculum achieving an 85% success rate on cube-lifting tasks.
Dexterous pick-and-place with a Franka + LEAP hand in MuJoCo: hardcoded control vs. a local VLM (Qwen2.5-VL) policy.
ROS 2 (Jazzy) deployment pipeline for a LEAP Hand dexterous grasping policy trained via PPO. Features modular node architecture, SB3 inference, and high-fidelity RViz2 visualization.
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