Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

Detect 6-DOF grasp poses in point clouds

The implementation of the paper 'ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation' (CVPR2022)

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot contr…

To verify/test the performance of rectangle-represented grasp detection algorithms, this project builts a joint simulation environment based on the UR3 robot, RG2 gripper and a RGB-D camera.

Grasping in GAZEBO robotics simulator.

Deep Reinforcement Learning for Robotic Grasping from Octrees

Antipodal Robotic Grasping的ROS包装 从RGBD图像生成平面抓取位姿

Implement the inverse kinematics of a UR5 employing the Poduct of Exponentials approach and control the UR5 in coppeliaSim using Python.

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

V-rep simulation experiment using yolov3 pytorch and DDPG

Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.

Using TD3 (Twin Delayed Deep Deterministic Policy Gradient) to reach a cube. Uses a UR5 manipulator with Robotiq gripper.

This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation

Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

A reinforcement learning project for robotic arm under sparse reward

DDPG with Hindsight Experience Replay (HER) solving Openai gym Fetch robotic environment in Pytorch

Robotiq Gripper

This repository includes some gazebo plugins used to solve the problem that the robotiq_85_gripper falls apart in gazebo

Collection of small gazebo plugins for ROS

A collection of tools and plugins for Gazebo

ROS package for the Robotiq 85 Gripper using RS485 communication

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

Simulate the iteration of a UR5 robot with Lego bricks

Single Shot Generative Grasping Convolutional Neural Network (SSGG-CNN)

ROS package for ChatGPT

ur5+robotiq_85_gripper gazebo grasping

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.