xiao1dao

xiao1dao's Stars

• iqiukp/ZoomPlot-MATLAB

  MATLAB Code for Interactive Magnification of Customized Regions.

  Language:MATLAB34056

• petercorke/robotics-toolbox-python

  Robotics Toolbox for Python

  Language:Python2.1k445

• ros-controls/ros_controllers

  Generic robotic controllers to accompany ros_control

  Language:C++562524

• Chunpeng19/ur5e_admittance_control

  Language:Python71

• mc-capolei/python-Universal-robot-kinematics

  UR5 and UR10 forward and inverse kinematics, python scripts

  Language:Python5323

• HrushikeshBudhale/Serving_robot

  Mobile manipulator project demonstrating inverse kinematics and path following capabilities

  Language:Python143

• zhaoguangbao/UR5_kinematics

  UR5正反运动学实现

  Language:Python3

• Ianlande/Vrep_yolov3_ddpg_pytorch

  V-rep simulation experiment using yolov3 pytorch and DDPG

  Language:Python5112

• NxRLab/ModernRobotics

  Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

  Language:Python2k815

• Kitware/CMake

  Mirror of CMake upstream repository

  Language:C6.9k2.5k

• chauby/CoppeliaSimRL

  Reinforcement learning environment with CoppeliaSim simulation platform.

  Language:Python5411

• Junzhuodu/ur5_vrep_python

  Use python and Vrep to do the path planning for ur5 robot

  Language:Python5513

• The132/franka-panda

  Use franka emika robot to play a peg-in-hole task by Deep Reinforcement learning both in simulator and real robot

  Language:C++9

• JeanElsner/panda_mujoco

  MuJoCo model of the Franka Emika Robot System

  Language:Python513

• mingfeisun/DeepMimic_mujoco

  DeepMimic Mujoco version; Python only; No Bullet, No C++

  Language:Python10824

• PaulDanielML/MuJoCo_RL_UR5

  A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

  Language:Python44154

• openai/mujoco-py

  MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

  Language:Cython2.9k815

• google-deepmind/mujoco_menagerie

  A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

  Language:Jupyter Notebook1.4k196

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.1k816

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.4k1.9k

• jeongeun980906/peg-in-hole

  Language:Python192

• SongleChen2015/Peg_in_hole_assembly

  Deep reinforcement learning for robotic peg-in-hole assembly task

  Language:Python228

• pengzou1/urrobot-peg-in-hole

  Language:Python62

• pengzou1/RL_PEG_IN_HOLE

  fuzzy q learning for peg-in-hole assembly

  Language:Python73

• OpenRobotSL/RobotForceControl

  admittance control导纳与拖动

  Language:MATLAB7717

• idozohar/peg-in-a-hole

  Language:Python6

• ros-industrial/universal_robot

  ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)

  Language:C++1.1k1k

• clvrai/furniture

  IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

  Language:Python50355

• DengYuelin/vrep_peg_in_hole

  Needs update

  Language:Python165

• xuhuairuogu/V-REP-Simulation-Projects

  Learning Robotics by Playing with V-REP

  Language:MATLAB18590