LeCAR-Lab / model-based-diffusionLinks
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
☆275Updated 5 months ago
Alternatives and similar repositories for model-based-diffusion
Users that are interested in model-based-diffusion are comparing it to the libraries listed below
Sorting:
- Implementation of Motion Planning Diffusion☆186Updated 3 weeks ago
- Official repo for paper "TD-M(PC)^2: Improving Temporal Difference MPC Through Policy Constraint"☆66Updated 6 months ago
- ☆181Updated 3 months ago
- Source code for the paper DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets☆114Updated 4 months ago
- Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated☆277Updated last week
- Safe Planning with Diffusion Probabilistic Models☆42Updated 4 months ago
- Sampling-based model predictive control on GPU with JAX/MJX☆202Updated 2 months ago
- Code release accompanying DribbleBot: Dynamic Legged Manipulation in the Wild☆119Updated last year
- ☆141Updated 3 years ago
- Multi-Robot Motion Planning with Diffusion Models☆158Updated 6 months ago
- [ICML 2024] Potential Based Diffusion Motion Planning.☆114Updated 6 months ago
- ☆97Updated 3 weeks ago
- Train quadruped locomotion using reinforcement learning in Mujoco☆87Updated last year
- Steering-based control of a two-wheeled vehicle using RL-PPO and NVIDIA Isaac Gym.☆45Updated 4 years ago
- ☆327Updated 3 weeks ago
- [IROS 2025] Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies☆189Updated 2 months ago
- ☆217Updated last year
- Project Page for Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models☆193Updated last year
- ☆87Updated 2 years ago
- ViNL: Visual Navigation and Locomotion over Obstacles (ICRA 2023)☆118Updated last year
- Body Transformer: Leveraging Robot Embodiment for Policy Learning☆164Updated 10 months ago
- Booster Gym is a reinforcement learning (RL) framework designed for humanoid robot locomotion developed by Booster Robotics.☆166Updated last month
- Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models☆34Updated 10 months ago
- Lecture notes for CMU RI course 16-745 Optimal Control 2023. The lecture notes provided here have been organized to ensure a structured a…☆33Updated 10 months ago
- Train a loco-manipulation dog with RL☆292Updated last year
- Official codebase for PRELUDE (Perceptive Locomotion Under Dynamic Environments)☆72Updated 3 weeks ago
- Learning Optimal Policies Through Contact in Differentiable Simulation☆104Updated last year
- terrain-robustness benchmark for legged locomotion☆63Updated 2 years ago
- ☆83Updated last year
- ☆120Updated 9 months ago