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๐Ÿ›ซ Introduction to Embodied Intelligence (A Quick Guide of Embodied-AI)

๐Ÿค– About

With the rapid advancement of large-scale models, a key question that has drawn considerable attention among researchers is how to equip a model-based intelligent agent with a physical body capable of interacting with the real world. In response, the concept of embodied intelligence has been introduced, attracting a growing community of researchers. To help researchers quickly grasp the frontiers of embodied intelligence and intelligent roboticsโ€”and to better promote and publicize developments in this fieldโ€”this project summarizes representative works in the domain of embodied intelligence and intelligent robotics. It will be continually updated to remain at the cutting edge. If you find any errors while reading through this project, please do not hesitate to contact us to correct them; we greatly appreciate such feedback. Likewise, if you would like to contribute to the further exploration and promotion of embodied intelligence, you are welcome to reach out to me via email: yinchenghust@outlook.com. cover

Author List

Thank you to all the authors for their contributions to the project.

Cheng Yin, Nengyu Wang, Yimeng Wang, Chenyu Yang, Zhiwen Hu, Yunxiang Mi, Weichen Lin.

Table of Contents

Symbol representation

  • represents closed source.
  • represents open source.

๐Ÿ“‘ Survey

  • Teleoperation of Humanoid Robots: A Survey [Paper Link] [Project Link] [2023]
  • Deep Learning Approaches to Grasp Synthesis: A Review [Paper Link] [Project Link] [2023]
  • A survey of embodied ai: From simulators to research tasks [Paper Link] [2022]
  • A Survey of Embodied Learning for Object-Centric Robotic Manipulation [Paper Link] [Project Link] [2024]
  • A Survey on Vision-Language-Action Models for Embodied AI [Paper Link] [2024]
  • Embodied Intelligence Toward Future Smart Manufacturing in the Era of AI Foundation Model [Paper Link] [2024]
  • Towards Generalist Robot Learning from Internet Video: A Survey [Paper Link] [2024]
  • A Survey on Robotics with Foundation Models: toward Embodied AI [Paper Link] [2024]
  • Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis [Paper Link][Project Link] [2024]
  • Robot Learning in the Era of Foundation Models: A Survey [Paper Link] [2023]
  • Foundation Models in Robotics: Applications, Challenges, and the Future [Paper Link] [Project Link] [2023]
  • Large Language Models for Robotics: Opportunities, Challenges, and Perspectives [Paper Link] [2024]
  • Awesome-Embodied-Agent-with-LLMs [Project Link] [2024]
  • Awesome Embodied Vision [Project Link] [2024]
  • Awesome Touch [Project Link] [2024]
  • Grasp-Anything Project [Project Link] [2024]
  • GraspNet Project [Project Link] [2024]
  • Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions [Paper Link] [Project Link] [2024]
  • Survey of Learning-based Approaches for Robotic In-Hand Manipulation [Paper Link] [2024]
  • A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches [Paper Link] [2024]
  • Neural Scaling Laws in Robotics [Paper Link] [2025]
  • Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes [Paper Link] [2024]
  • Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI [Paper Link] [Project Link] [2024]

๐Ÿ‘๏ธ Perception

    • RGBGrasp: Image-based Object Grasping by Capturing Multiple Views during Robot Arm Movement with Neural Radiance Fields [Paper Link] [Project Link] [2024]
    • A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation [Paper Link] [2024]

๐Ÿง  Brain Model

๐Ÿ† VLA Model

๐Ÿ‘‘ E-AI-RL

๐Ÿ Interactive

๐Ÿ’ป Simulator

๐Ÿ“Š Dataset

๐Ÿ”ง Toolkit

๐Ÿ“– Citation

If you think this repository is helpful, please feel free to leave a star โญ๏ธ

๐Ÿ˜Š Acknowledgements

Thanks for the repository:

  1. Embodied_AI_Paper_List
  2. OCRM_survey
  3. Awesome-Generalist-Robots-via-Foundation-Models
  4. Awesome-Embodied-Agent-with-LLMs
  5. Awesome-Robotics-Foundation-Models

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