uwrobotlearning Goto Github PK
Type: Organization
Location: University of Washington
Type: Organization
Location: University of Washington
We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Just Fork This! (L0): A repo template for the Franka Emika Panda
Simulation framework for learning and control on limbed robots. Quadrupeds. Manipulators.
Unified framework for robot learning built on NVIDIA Isaac Sim
🧬 A barebones template configured for CI with minimal extras.
RL implementations
Code for R:SS 2021 paper RMP2: A Structured Composable Policy Class for Robot Learning.
A fork of gym that provides the API and essentially nothing else.
Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit
📖 Official Lab Wiki
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.