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A toolkit for developing and comparing reinforcement learning algorithms.
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
A small robot especially for rl training locomotion
Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.
Open-Sourecd project for pointfoot bipedal robot walking control in MuJoCo simulation. Built on top of nabo(https://github.com/tryingfly/nabo)
Bipedal Skills Benchmark for Reinforcement Learning
一个全开源低成本的双足机器人（2万元（$3000））A Fully Opensourced Humanoid Robot with only $3000
RussTedrake / drake
Forked from RobotLocomotion/drakeA planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.
The course text for MIT 6.832 (and 6.832x on edX)
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
A simple biped stance planner utility based on MuJoCo. Torso, left foot and right foot position and orientation can be adjusted to obtain a suitable robot posture.
Training a humanoid robot for locomotion using Reinforcement Learning
An open source bipedal robot control framework, based on non-linear MPC and WBC, tailered for EC-hunter80-v01 bipedal robot.
STRIDE is a versatile bipedal robot platform for research and education
A humanoid bipedal walking control repo using NMPC and WBC, and simulation with mujoco. Contact: [email protected]
This is a private learning repository for reinforcement learning techniques used in robotics.
Simulation Software for HECTOR Humanoid Robot (ROS/MATLAB)
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Wheel-legged robot simulation files.
World's fastest and most advanced password recovery utility
MiDark / tiktok
Forked from niu12503/douyin抖音批量下载与去水印工具, 视频、图集、合集、音乐(原声)
Robust Speech Recognition via Large-Scale Weak Supervision
Simulation Software (ROS/MATLAB) for HECTOR Humanoid Robot Locomotion Control/Bipedal Locomotion Control/Force-and-moment-based MPC