A REVIEW ON ROBOTICS AND PHYSICAL AI
Keywords:
Physical AI, Sim to Real Gap, Reinforment Learning, World Models , DexterityAbstract
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
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