首页|Findings from University of Waterloo Yields New Data on Robotics (How Non-expert s Kinesthetically Teach a Robot Over Multiple Sessions: Diversity In Teaching St yles and Effects On Performance)

Findings from University of Waterloo Yields New Data on Robotics (How Non-expert s Kinesthetically Teach a Robot Over Multiple Sessions: Diversity In Teaching St yles and Effects On Performance)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news originating from Waterloo, Canada, by N ewsRx correspondents, research stated, “In real-world applications, robots shoul d adapt to users and environments; however, users may not know how to teach new tasks to a robot. We studied whether participants without any experience in teac hing a robot would become more proficient robot teachers through repeated kinest hetic human-robot teaching interactions.” Financial support for this research came from Canada 150 Research Chairs Program .

WaterlooCanadaNorth and Central Amer icaEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Wat erloo

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.18)