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Titlebook: Walking Robots into Real World; Proceedings of the C Karsten Berns,Mohammad Osman Tokhi,Rüdiger Dillman Conference proceedings 2024 The Edi

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書目名稱Walking Robots into Real World
副標(biāo)題Proceedings of the C
編輯Karsten Berns,Mohammad Osman Tokhi,Rüdiger Dillman
視頻videohttp://file.papertrans.cn/1021/1020345/1020345.mp4
概述Includes recent research on Climbing and Walking Robots.Proceedings of 267h International Conference Series on Climbing and Walking Robots and the Support Technologies for Mobile Machines .Written by
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Walking Robots into Real World; Proceedings of the C Karsten Berns,Mohammad Osman Tokhi,Rüdiger Dillman Conference proceedings 2024 The Edi
描述.The book is also a good source for courses in robotics and automation, control engineering, mechanical engineering, and mechatronics. CLAWAR 2024 is the 27th International Conference Series on Climbing and Walking Robots and Mobile Machine Support Technologies. The conference is organized by CLAWAR Association in collaboration with the RPTU Kaiserslautern-Landau and FZI Center for Information Technology, Germany, during September 4–6, 2024...CLAWAR 2024 provides the latest research and development findings and state-of-the-art insights into the mobile robotics and associated technologies in a diverse range of application scenarios, within the framework of “walking robots into real world.”..The topics covered include AI-based systems and solutions, biologically inspired systems and solutions, human-like robots, innovative grippers, innovative robot design, planetary exploration, planning and control, prosthetics and rehabilitation, quadruped robots, and robotic applications...The intended readership includes participants of CLAWAR 2024 conference, worldwide researchers, scientists, and educators in the areas of robotics and related topics..
出版日期Conference proceedings 2024
關(guān)鍵詞Robotics; Legged Robots; Climbing Robots; Assistive Technologies; CLAWAR; CLAWAR 24
版次1
doihttps://doi.org/10.1007/978-3-031-70722-3
isbn_softcover978-3-031-70721-6
isbn_ebook978-3-031-70722-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Efficient Stream-Based Active Learning Initialization for?Legged Robots Based on?a?PCA/K-Means Imagethe unlabeled set of data the robot would have access to find key images that can be utilized to successfully start a Stream-Based Active Learning process..We evaluate our approach on a small set of images as well as multiple data streams to show the validity of the approach itself as well as import
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