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pro vyhledávání: '"Kato, Kenji"'
Autor:
Liu, Haokun, Zhu, Yaonan, Kato, Kenji, Tsukahara, Atsushi, Kondo, Izumi, Aoyama, Tadayoshi, Hasegawa, Yasuhisa
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 8, pp. 6904-6911, Aug. 2024
Large Language Models (LLMs) are gaining popularity in the field of robotics. However, LLM-based robots are limited to simple, repetitive motions due to the poor integration between language models, robots, and the environment. This paper proposes a
Externí odkaz:
http://arxiv.org/abs/2406.14097
This paper presents a novel approach to enhance autonomous robotic manipulation using the Large Language Model (LLM) for logical inference, converting high-level language commands into sequences of executable motion functions. The proposed system com
Externí odkaz:
http://arxiv.org/abs/2308.14972