Robotics & Machine Learning Daily News2024,Issue(Jul.24) :32-33.

New Robotics Study Findings Recently Were Reported by Researchers at University of Hamburg (A Demonstration Trajectory Segmentation Approach for Wheelchair-moun ted Assistive Robots)

Robotics & Machine Learning Daily News2024,Issue(Jul.24) :32-33.

New Robotics Study Findings Recently Were Reported by Researchers at University of Hamburg (A Demonstration Trajectory Segmentation Approach for Wheelchair-moun ted Assistive Robots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Robotics is now available. Accordi ng to news reporting from Hamburg, Germany,by NewsRx journalists, research stat ed, “Segmentation of demonstration trajectories and learning thecontained motio n primitives can effectively enhance the assistive robot’s intelligence to flexi bly reproducelearnt tasks in an unstructured environment. With the aim to conve niently and accurately segmentdemonstration trajectories, a novel demonstration trajectory segmentation approach is proposed based onthe beta process autoregr essive hidden Markov model (BP-AR-HMM) algorithm and generalised timewarping (G TW) algorithm aiming to enhance the segmentation accuracy utilising acquired dem onstrationdata.”

Key words

Hamburg/Germany/Europe/Algorithms/Em erging Technologies/Machine Learning/Nano-robot/Robotics/University of Hambu rg

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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