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assembly_ur5e_workspace

birl_ur5_handeye_calibration

control-of-two-ur5s-by-two-phantom-omnies-

geomagic haptic omni

coordinating-two-ur5-robots-for-a-pick-and-place-task

Two UR5 Robots are coordinated where one robot gets the object by detecting using a camera sensor and

covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dual-arm-robot-force-controlled-object-manipulation

This Repository is the complete workspace of a project that realizes force-controlled object manipulation with a dual-arm-robot (UR5 and UR10)

dual_arm_manipulation

This is a dual-arm manipulation project with two UR5.

dual_ur5_arm

Employ Dynamic Movement Primitives (DMP) and PSO to find a time-optimal position for dual-arm peg-in-hole task.

easy-reactor

Easy-Reactor是一个Linux C++高性能TCP服务框架，基于Reactor模式，支持单线程、多线程Reactor，也支持UDP服务

easy-rl

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

feedback_information_ur5

This package to read the feedback signal from UR5 in each joints to publish as a topic.

finrl

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

geompickplace

Code for reproducing experiments for the paper "Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion".

grasping_ur5

gym-husky-ur5

gym-ur5

UR5 robot with Jaco hand as gripper for HRI project

gym-ur5_gripper

handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

matd3implementation

Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

meng-project-robot-arm-with-cnn

Computer Vision Code (AlexNet CNN) for novel object using a UR5 robot arm

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.

pearl-ur5e

Catkin workspace for the PeARL laboratory at University of Massachusetts - Lowell

pybullet-ur5-equipped-with-robotiq-140

pybullet_ur5_gripper

pybullet_ur5_robotiq

Gym-Styled UR5 arm with Robotiq-85 / 140 gripper in Bullet simulator

reinforcementlearning4robot

Reinforcement learning algorithm HER implemented on UR5 robot to execute grasp and place task.

rlcycle

A library for ready-made reinforcement learning agents and reusable components for neat prototyping