anindex / mpotLinks
Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
☆59Updated last year
Alternatives and similar repositories for mpot
Users that are interested in mpot are comparing it to the libraries listed below
Sorting:
- Cross Entropy Method implemented in pytorch☆38Updated 3 years ago
- ☆17Updated last year
- (T-RO, ICRA 2024) Tutorials on ergodic control and more☆43Updated 2 months ago
- Code release for ICLR 2023 paper "NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning"☆50Updated last year
- Implement Differentiable Kinematics Tree & Planning Objectives in PyTorch given URDF robot models.☆41Updated last year
- ☆31Updated last year
- Code accompanying the paper: "Stable Motion Primitives via Imitation and Contrastive Learning" (T-RO).☆27Updated last year
- A ROS2 bridge for the Stanford Flightroom that takes in quadcopter trajectory data and outputs the corresponding setpoints in PX4.☆12Updated 10 months ago
- Implementation of Model Tensor Planning in JAX.☆22Updated 2 months ago
- Implementation of GTMP in JAX.☆28Updated 4 months ago
- Implementation of Sim2Seg (John So*, Amber Xie*, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali-akbar Agha-mohammad, Pieter Abbeel, Ste…☆35Updated 2 years ago
- Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations☆47Updated 3 years ago
- Differentiable collision detection for capsules in JAX.☆48Updated last year
- [CoRL2020] Learning obstacle representations for neural motion planning☆27Updated 4 years ago
- Pytorch Implementation of TinyMPC☆62Updated last year
- Official codebase for PRESTO (Planning with Environment Representation, Sampling, and Trajectory Optimization)☆37Updated last week
- Python interface to Dojo☆67Updated 2 years ago
- Differentiable Gaussian Process Motion Planning☆52Updated 3 years ago
- ☆16Updated this week
- Robot Reinforcement Learning on the Constraint Manifold☆55Updated 3 years ago
- Code release for RDF (Reachability-based Trajectory Design with Neural Implicit Safety Constraints)☆34Updated last year
- Code of the paper "Interactive Learning of Temporal Feature for Control", published in the IEEE Robotics & Automation Magazine.☆12Updated 2 years ago
- Code for R:SS 2021 paper RMP2: A Structured Composable Policy Class for Robot Learning.☆39Updated 4 years ago
- SAILOR is an inverse RL algorithm that learns world and reward models to search at test-time and recover from mistakes.☆37Updated last month
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆24Updated 2 years ago
- An Open-Source Reinforcement Learning Framework for Robot-Task Environments☆22Updated 2 years ago
- [NeurIPS 2021 DDM Workshop] A hybrid control strategy for combining deep RL and classical robotic controllers☆39Updated 2 years ago
- Model predictive path integral control in jax☆13Updated 2 months ago
- Python implementation of VP-STO☆45Updated last year
- RL training visualizer for Mujoco Playground environments + Brax training☆26Updated 2 months ago