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

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).

[RSS 2024] Code for "Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals" for CALVIN experiments with pre-trained weights

[CoRL 24] GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy

[CVPR 25] G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation

[ICRA'24] Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

Gym environments for manipulators based on crisp_py and ROS2: collect data and deploy policies on real ROS2 enabled manipulators.

A complete imitation learning pipeline for bar alignment using the UR5 robot in NVIDIA Isaac Sim. Includes manual data collection with a game controller, dataset organization for LeRobot, diffusion policy training, and policy deployment through ROS2.

CS7675: Benchmarking robot learning algorithms for real-world challenges (Master's Research)

3D Diffusion Policy Realtime Inference Client