ROS2 URDF description for Universal Robots

Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers

UR5 Robot with a Robotiq gripper

Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

Reinforcement learning using rlkit, UR5, Robotiq gripper on ROS(Robot Operating System)

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

OpenRAVE Controller Plugin for UR5 (Universal Robots UR5) Robot

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

RTC of Universal Robot (URx) for OpenRTM-aist

Code for keypoint-based visual servo IROS2020

SPARC is an intelligent ROS2 Humble-based pick-and-place robotic system integrating MoveIt, YOLOv8-OBB, and Isaac Sim. It enables real-time object detection, motion planning for Franka Panda and UR5 arms, and natural language control via an Ollama-powered chatbot—making robotic manipulation smart, interactive, and human-friendly.

A complete imitation learning pipeline for bar alignment using the UR5 robot in NVIDIA Isaac Sim. Includes manual data collection with a game controller, dataset organization for LeRobot, diffusion policy training, and policy deployment through ROS2.

Mobile manipulator project demonstrating inverse kinematics and path following capabilities

Object grasping with Clearpath's dual-UR5 arm Husky using Aruco marker detection and MoveIt!

URDF and SDF descriptions of UR5 robot with RG2 gripper for Ignition and MoveIt2

Automated Bin Picking With A Cobot - Saxion Smart Solution Project

Project to develop voice control of a Universal Robotics' arm to be used for playing chess.

MoveIt 2 configuration for UR5 robot with RG2 gripper

Complete pipeline for automated/manual pick/place using UR5 with the Robotiq 2f-85 gripper and ZED stereo camera. The pipeline uses manually drawn bounding boxes or roboflow cloud models for detection of object so in theory it can be modified for pick and place of any detected object.

This project uses an Optoforce force sensor and a UR5 robotic arm to explore 3D object surfaces through touch, providing data to reconstruct these surfaces in a 3D point cloud format.