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Titlebook: Interactive Collaborative Robotics; 9th International Co Andrey Ronzhin,Jesus Savage,Roman Meshcheryakov Conference proceedings 2024 The Ed

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发表于 2025-3-21 20:03:42 | 显示全部楼层 |阅读模式
书目名称Interactive Collaborative Robotics
副标题9th International Co
编辑Andrey Ronzhin,Jesus Savage,Roman Meshcheryakov
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Interactive Collaborative Robotics; 9th International Co Andrey Ronzhin,Jesus Savage,Roman Meshcheryakov Conference proceedings 2024 The Ed
描述.This book constitutes the refereed proceedings of the 9th International Conference on Interactive Collaborative Robotics, ICR 2024, held in Mexico City, Mexico, during October 14–18, 2024...The 32 full papers presented here were carefully reviewed and selected from 62 submissions. These papers focus on the challenges, trends and applications of Human-Robot collaboration in various domains such as Industry, Healthcare, Society and Education..
出版日期Conference proceedings 2024
关键词Artificial intelligence; Embedded and cyber-physical systems; Cognitive robotics; Vision for robotics; R
版次1
doihttps://doi.org/10.1007/978-3-031-71360-6
isbn_softcover978-3-031-71359-0
isbn_ebook978-3-031-71360-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
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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Super-Twisting Algorithm Gain Adjustment Strategy for Manipulator Position Control, position accuracy. Namely, two-steps Super-twisting algorithm (STA) gains adjustment strategy is proposed. Firstly, it is found that for ABB IRB 1600 the sine mixture signal provides the system response allowing to identify the plant structure as first-order system with time delay. At the second st
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Stabilizing Manipulator Trajectory via Collision-Aware Optimization,nducted a set of experiments with Octomap and with the representation of obstacles in the form of enlarged cubes. Experiments have shown that enlarging cubes to parallelepipeds reduces planning time and increases the success rate.
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Prediction of Deformations on Elastic Objects Using an LSTM Model,the contour we use is still of fixed length, our model makes reasonable predictions of deformation for interactions it has not seen before for the entire interaction and not only for the next frame as other models in the literature do. Also, since it uses only local information of pieces of the obje
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