Papers, codes, datasets, tasks, applications, tutorials.

Widely used by top conferences and journals:

• Top Conferences: [CoRL] [IROS] [ICRA] [ICML] [ICLR] [NeurlPS] [PMLR] [RLC] [RSS] [RAL]
• Top Journals: [IJRR] [Science Robotics] [T-RO]

[2020] A Survey on Learning-Based Robotic Grasping

[2021] Robot Learning from Randomized Simulations: A Review

[2023] Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges

[2024] Survey of Learning Approaches for Robotic In-Hand Manipulation

[2024] A Survey of Robotic Language Grounding: Tradeoffs Between Symbols and Embeddings

[2024] AI Robots and Humanoid AI: Review, Perspectives and Directions

[2024] Benchmarking Neural Radiance Fields for Autonomous Robots: An Overview

🔈 If you would like some specific areas' survey, such as reinforcement learning,imitation learning, and etc, please click related links in part one.

🔈 There are just some pretty papers for beginners and interested figures.

• Bipedal
• Foundation Model
• Imitation Learning
• Manipulation
• Offline Reinforcement Learning
• Perception
• Quadruped
• Reinforcement Learning
• Sim-to-Real Transfer
• Speech
• Safe Reinforcement Learning
• Vision Reinforcement Learning

• Bepidal
• Bimanual
• Manipulation
• Planning
• Quadruped

Please see HERE for the popular robot learning datasets, simulator and benchmark results. The links of datasets only are acquired by summarizing survey papers. If you would need more, you can acquire it by linking codes.

Please see HERE for some awesome relevant resources, such as

• Tutorials
• Awesome URDF and MJCF
• Awesome Toolkit
• Awesome RL,IL,IRL Implementation
• Awesome Papers' Repository of Robot Learning Relevant Areas

If you are interested in contributing, please refer to HERE for instructions in contribution.

Copyright notice

[Notes]This Github repo can be used by following the corresponding licenses. I want to emphasis that it may contain some PDFs or thesis, which were downloaded by me and can only be used for academic purposes. The copyrights of these materials are owned by corresponding publishers or organizations. All this are for better adademic research. If any of the authors or publishers have concerns, please contact me to delete or replace them.