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

Official repo for GraspGen: A Diffusion-based Framework for 6-DOF Grasping

[CoRL2024] ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter. https://arxiv.org/abs/2407.11298

Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

Deep Reinforcement Learning for Robotic Grasping from Octrees

paper list of robotic grasping and some related works

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

[RAL 2022 & ICRA 2023] TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline

Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping