Popular GitHub Repositories for Grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.

Detect 6-DOF grasp poses in point clouds

Deep Reinforcement Learning for Robotic Grasping from Octrees

Python module for GQ-CNN training and deployment with ROS integration.

A comprehensive list of papers about Robot Manipulation, including papers, codes, and related websites.

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

Reinforcement Learning Experiments using PyBullet

Simple and unified interface to zero-shot computer vision models curated for robotics use cases.

6-Dof Grasping Policy from Point Clouds

ContactGen: Generative Contact Modeling for Grasp Generation (ICCV 2023)

[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact

[CoRL 2020] Fit2Form: 3D Generative Model for Robot Gripper Form Design

The repository is for developing manipulator which can recognize the objects via image processing. The Jinyoung wants to grasp some objects with Opencv, ROS, MoveIt, and so on.

Code for Generalization Guarantees for (Multi-Modal) Imitation Learning

Diffusion models to generate unconstrained and constrained grasps on 3D objects - Acronym annd CONG dataset