首页|Research Data from University of the Chinese Academy of Sciences Update Understa nding of Robotics (Text2reaction : Enabling Reactive Task Planning Using Large L anguage Models)

Research Data from University of the Chinese Academy of Sciences Update Understa nding of Robotics (Text2reaction : Enabling Reactive Task Planning Using Large L anguage Models)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reporting outof Beijing, People’s Republic of China, by NewsRx editors, research stated, “To complete tasks in dynamicenviron ments, robots need to timely update their plans to react to environment changes. Traditionalstripe-like or learning-based planners struggle to achieve this due to their high reliance on meticulouslypredefined planning rules or labeled dat a.”

BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsUniversity of the Chinese Academy of Sciences

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.2)