Robotics & Machine Learning Daily News2024,Issue(Dec.4) :154-155.

Data on Robotics Reported by Researchers at Beijing Institute of Technology (Imi tation Learning and Teleoperation Shared Control With Unit Tangent Fuzzy Movemen t Primitives)

北京理工大学研究人员报告的机器人数据(基于单位切线模糊运动基元的智能学习和遥操作共享控制)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :154-155.

Data on Robotics Reported by Researchers at Beijing Institute of Technology (Imi tation Learning and Teleoperation Shared Control With Unit Tangent Fuzzy Movemen t Primitives)

北京理工大学研究人员报告的机器人数据(基于单位切线模糊运动基元的智能学习和遥操作共享控制)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员用机器人S详细介绍了新数据。中华人民共和国,Ne wsRx记者,研究称,“模仿学习是关键”为机器人的杀伤捕获提供了广阔的应用前景。本文介绍了一种基于单位切线模糊的仿真学习方法和共享控制框架运动原语(UTFMP)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news originating from Beijing,People’s Republic of China, by Ne wsRx correspondents, research stated, “Imitation learning is pivotalfor robot s kill acquisition and holds potential for teleoperation shared control applicatio ns. This articleintroduces a novel imitation learning method and shared control framework using unit tangent fuzzymovement primitives (UTFMP).”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Beijing Institute o f Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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