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A Python interface and simulation environemtn for the Unitree Go2 robot.
PyTorch Code for Neural MP: A Generalist Neural Motion Planner
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Official implementation of Diffusion Policy Policy Optimization, arxiv 2024
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
Dynamic model of the Franka Emika Panda robot
Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields
Example pybind11 module built with a CMake-based build system
A unified Python simulation and hardware communication environment for Franka FR3 robots.
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Direct parameterization of Lipschitz-bounded deep networks
rtealwitter / dl-demos
Forked from chinmayhegde/dl-demosAssorted exercises in Pytorch
Open-source implementation of Deep Differential Networks with analytical Jacobian and Hessian
Toolkit for learning controllers based on robust control Lyapunov barrier functions
neural networks to learn Koopman eigenfunctions
Neural Koopman Lyapunov Control
Safe reinforcement learning with stability guarantees
Contains the code for the paper Neural Lyapunov Redesign published at L4DC 2021.
Enforcing robust control guarantees within neural network policies
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Code accompanying the paper "Goal-conditioned Batch RL for Rotation Invariant Locomotion" (ICLR 2020, BeTR-RL)
Final Project for CS275 @UCLA Locomotion by Reinforcement Learning
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.