A REVIEW ON ROBOTICS AND PHYSICAL AI

Authors

  • Rathva Mayureeben Kanchanbhai ,Bhura Parulben Abhesinh

Keywords:

Physical AI, Sim to Real Gap, Reinforment Learning, World Models , Dexterity

Abstract

This review documentes machine learning's evolution from deep RL algorithms (PPO, SAC)and visuomotor policies (QT-Opt) to early world models (Dreamer) that achieved 95% success in industrial manipulation but confronted critical limitations

References

Lin BY, Huang C, Liu Q, Gu W, Sommerer S, Ren X. On grounded planning for embodied tasks with language models. InProceedings of the AAAI Conference on Artificial Intelligence 2023 Jun 26 (Vol. 37, No. 11, pp. 13192-13200).

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Published

2024-08-16

How to Cite

Rathva Mayureeben Kanchanbhai ,Bhura Parulben Abhesinh. (2024). A REVIEW ON ROBOTICS AND PHYSICAL AI . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7952–7961. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5056

Issue

Section

Articles