Robotics & Machine Learning Daily News2024,Issue(Nov.1) :114-114.

Researchers from Swiss Federal Institute of Technology Lausanne Report Findings in Robotics (Action Contextualization: Adaptive Task Planning and Action Tuning Using Large Language Models)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :114-114.

Researchers from Swiss Federal Institute of Technology Lausanne Report Findings in Robotics (Action Contextualization: Adaptive Task Planning and Action Tuning Using Large Language Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting out of Lausanne, Switzerland, by New sRx editors, research stated, “Large Language Models (LLMs) present a promising frontier in robotic task planning by leveraging extensive human knowledge. Never theless, the current literature often overlooks the critical aspects of robots’ adaptability and error correction.” Funders for this research include European Research Council (ERC), Horizon Europ e.

Key words

Lausanne/Switzerland/Europe/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Robots/Swiss Feder al Institute of Technology Lausanne

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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