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.
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Updated
Nov 21, 2022 - Python
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.
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
A Collision Avoidance and Path Planning Framework implemented for a dual arm Pick and Place robot task simulation. Velocity Obstacles and RRTStar Motion Planner are used in the algorithm to plan dynamic collisionless trajectories.
myGym is the robotic simulator. It allows to create novel multi step long horizon tasks without coding. There are automatic task building routines, where user composes long horizon actions from basic set of protoactions, that are automatically paired with rewards. There are several humanoids and robotic arms ready to train.
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 ROS package that makes picking and placing objects with MoveIt and GraspIt, easier than ever! 🤖
Delta robot simulation in Gazebo 9.0.0 using MARA environment
PCB assembly software for Makers, including planning, pick-and-place and gerber viewing.
In this repository, pick and place application is implemented on KUKA iiwa robot with a camera mounted on the end-effector. YOLOv4 is used for object detection and HSI color space is used for color segmentation.
ROS packages for the Aubo i5 robot and DH Robotics AG95 gripper integration. Test pick and place tasks using Moveit and simulate in Gazebo. Developed for LARA lab.
A pick-and-place application with the Franka Panda robot simulated in ROS and Gazebo.
Code for reproducing experiments for the paper "Pick-and-Place With Uncertain Object Instance Segmentation and Shape Completion".
Custom Franka Panda packages for pick and place operations
Open-Source Pick and Place Machines
Universal Robot (UR3) Pick and Place Hardware Implementation with ROS using a USB Cam and an Electromagnetic Gripper
Universal Robot 10 in V-REP for picking and placing bottles
Simulation source code and examples for applying machine learning on Sawyer Robot
Codebase for MTE Robotics Lab Mini-Project Group 4.
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