Official implementation for paper "Adaptive Compliance Policy Learning Approximate Compliance for Diffusion Guided Control".

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.

A Langchain app that allows you to chat with multiple PDFs

UR communication RTDE

Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

Compliant Control: 1) admittance control algorithm 2) impedance control algorithm 3) hybrid force&position algorithm in robotic arm (Universal Robot).

UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

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【Python / Selenium】使用爬蟲自動化購買 PChome 商品

🌸 Easy way to run 100B+ language models without high-end GPUs. Up to 10x faster than offloading

UR5 with FT-300 robotiq force sensor(platform) to implement admittance control

Admittance control demo for UR manipulator

Python Code for control of UR5e robot in 125[Hz]. Includes trajectory planner, controller and more.

The Python Toolbox for Robotics

We released a toolbox for automatic hand-eye calibration between Intel Realsense camera and Universal Robot 5 based on easy hand-eye calibration

using TCP/IP network comunication to control UR5 robot with a RG2 gripper

✏️ Simulation of UR5 robot assembly using vrep and python