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Movement Primitive Diffusion (MPD) is a diffusion-based imitation learning method for high-quality robotic motion generation that focuses on gentle manipulation of deformable objects.
Home Page: https://scheiklp.github.io/movement-primitive-diffusion/
License: MIT License
movement-primitive-diffusion's Introduction
sofa_env : Reinforcement learning environments for robot-assisted laparoscopic surgery.
sofa_zoo : Reinforcement learning scripts for sofa_env environments.
sofa_godot : A Godot plugin to create SOFA scenes in Godot.
SOFA : Real-time multi-physics simulation with an emphasis on medical simulation.
SofaPython3 : Python bindings for SOFA.
MP_PyTorch : Movement Primitives in PyTorch.
qmk : Keyboard firmware.
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