Pinned Repositories
AERO-21D
amigo_whole_body_controller
A Whole-Body Controller developed for Amigo at the TU/e
BR2-simulator
Physics simulator using Cosserat Rod theory for FREE assembly.
catheter_RL
use online reinforcement learning to guide a soft-robot catheter through a desired trajectory
CBF-CLF-Helper
Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.
Chapter16-Robot-Learning-in-Simulation
Chapter 16 Robot Learning in Simulation in book Deep Reinforcement Learning: example of Sawyer robot learning to reach the target with paralleled Soft Actor-Critic (SAC) algorithm, using PyRep for Sawyer robot simulation and game building. The environment is wrapped into OpenAI Gym format.
cheetah-software-change
魔改mit开源四足机器人算法cheetah-software,防止自己实物机器人炸机丢程序哭都没地儿哭
CMU16-745-Optimal-Control-HW
shop
VMC-QP
VMC+QP力分配， MIT KF方法，未融合加速度
pinkmoon-io's Repositories
pinkmoon-io/CMU16-745-Optimal-Control-HW
pinkmoon-io/cmu_optimal_control_course
learning about optimal control concepts. solving lecture and Home work problems
pinkmoon-io/DeSKO-Deep-Stochastic-Koopman-Operator
pinkmoon-io/diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
pinkmoon-io/FollowTheClairvoyant
Code to reproduce the result of the paper "Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control", by Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros and Giancarlo Ferrari-Trecate
pinkmoon-io/gcs-science-robotics
Motion Planning around Obstacles with Convex Optimization by Marcucci et al, 2023
pinkmoon-io/generative-image-dynamics
pinkmoon-io/GenLoco
pinkmoon-io/gym-softrobot
Softrobotics environment package for OpenAI Gym
pinkmoon-io/hybrid_gait
RL training for quadruped robot(mit minicheetah) various gaits in different velocity based on MPC controller.
pinkmoon-io/legged-kalman-filter
pinkmoon-io/legged_gym
Isaac Gym Environments for Legged Robots
pinkmoon-io/lfmc_pyval
Deployment package for Low-Frequency Motion Control (LFMC) policies - Python
pinkmoon-io/mppi_cbf
Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.
pinkmoon-io/optimization_dynamics
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
pinkmoon-io/Pytorch-VAE-tutorial
A simple tutorial of Variational AutoEncoders with Pytorch
pinkmoon-io/quad-sdk
Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.
pinkmoon-io/Quadruped_Robot_with_Reinforcement_Learning
pinkmoon-io/QuadrupedRL
Agile Quadruped Locomotion RL based on bullet
pinkmoon-io/raisimLib
Visit www.raisim.com
pinkmoon-io/rapid-locomotion-rl
Code for Rapid Locomotion via Reinforcement Learning
pinkmoon-io/RL-based-Control-of-a-Soft-Continuum-Robot
Simulation based Soft Continuum Robot Control via Reinforcement Learning
pinkmoon-io/RL-MPC-tutorial
Code and slides
pinkmoon-io/ScoreDiffusionModel
The Pytorch Tutorial of Score-based and Diffusion Model
pinkmoon-io/sofa-dr-rl
Enabling Faster Training of Robust Reinforcement Learning Policies for Soft Robots
pinkmoon-io/SoftRobotKinematics
pinkmoon-io/spinningup
An educational resource to help anyone learn deep reinforcement learning.
pinkmoon-io/tinympc-python
Python interactive interface for TinyMPC
pinkmoon-io/vision4leg
Toolkit for vision-guided quadrupedal locomotion research
pinkmoon-io/walk-these-ways
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.