首页|New Robotics Study Findings Recently Were Reported by Researchers at University of Hamburg (A Demonstration Trajectory Segmentation Approach for Wheelchair-moun ted Assistive Robots)
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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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.”
HamburgGermanyEuropeAlgorithmsEm erging TechnologiesMachine LearningNano-robotRoboticsUniversity of Hambu rg
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