Stars
This repository contains the implementation of Ground4Act, a two-stage approach for collaborative pushing and grasping in clutter using a visual-language model.
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
✏️ Simulation of UR5 robot assembly using vrep and python
Official Implementation for "PhISH-Net: Physics Inspired System for High Resolution Underwater Image Enhancement"
The implementation and dataset of LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
ICRA 2023 tutorial on ROS 2 and the new Gazebo (MT28, ICC Capital Suite 14)
OpenAI gym, pybullet, panda-gym example
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 robotic arm (UR5) simulation built with the physics of MuJoCo and the rendering of the Unity.
Simulator of UR5 robotic arm with Robotiq gripper, built with MuJoCo
A curated list of resources for using LLMs to develop more competitive grant applications.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
The Code for Paper “Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards”
Framework for integrating ROS and Gazebo with gymnasium, streamlining the development and training of RL algorithms in realistic robot simulations.
Set of robotic environments based on PyBullet physics engine and gymnasium.
Universal Robot Environment for OpenAI Gymnasium and ROS Gazebo Interface
[ICRA 2023] A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
搭建gazebo虚拟环境，采用kinect_V2深度相机，结合OpenCv视觉算法SIFT，进行物体位姿估计，最终完成机械臂抓取物块。 代码参考： https://t.csdnimg.cn/zann7 https://t.csdnimg.cn/ON0gf
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
Force controlled assembly process. In real and simulated environment. Using Universal Robots UR5, ROS, Gazebo.
Simulate the iteration of a UR5 robot with Lego bricks
A UR5 robotic arm project, simulated in Pybullet, and implemented communication between Pybullet and ROS MoveIt, and implemented robotic arm planning through MoveIt
本项目收录约30个模型，皆为pybullet适用的urdf文件，模型大小被缩放到了相近的大小，同时，这些模型的选择主要是参考如cocos、imagenet数据集中的类别，并且广泛应用于yolo、mask2former、detr等目标检测项目中。经过测试，大部分urdf模型可以被这些开源网络识别到。