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Titlebook: Intelligent Robotics and Applications; 13th International C Chee Seng Chan,Hong Liu,Kam Meng Goh Conference proceedings 2020 Springer Natur

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书目名称Intelligent Robotics and Applications
副标题13th International C
编辑Chee Seng Chan,Hong Liu,Kam Meng Goh
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Robotics and Applications; 13th International C Chee Seng Chan,Hong Liu,Kam Meng Goh Conference proceedings 2020 Springer Natur
描述This book constitutes the proceedings of the 13th International Conference on Intelligent Robotics and Applications, ICIRA 2020, held in Kuala Lumpur, Malaysia, in November 2020.. The 45 full papers and 3 short papers were carefully reviewed and selected from 66 submissions. The accepted papers were grouped into various subtopics including Advanced Measurement and Machine Vision System; Automation; Human-Robot Interaction; Mobile Robots and Intelligent Autonomous System; Recent Trends in Computational Intelligence; Robot Design, and Development and Control..Due to the Corona pandemic ICIRA 2020 was held as a virtual event..
出版日期Conference proceedings 2020
关键词artificial intelligence; computer hardware; computer networks; computer science; computer systems; comput
版次1
doihttps://doi.org/10.1007/978-3-030-66645-3
isbn_softcover978-3-030-66644-6
isbn_ebook978-3-030-66645-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Iterative Phase Correction Method and Its Applicationges). The main approach is regenerating the fringe images from the wrapped phase and performed the iterative Gaussian filter. Generally, the proposed iterative Gaussian filter method can filter the noise without interference from reflectivity, improve the measurement accuracy and recover the wrapped
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An Improved Calibration Method of EMG-driven Musculoskeletal Model for Estimating Wrist Joint Angless and might be potentially applied in the real-time control of powered upper limb prostheses. In this study, we proposed a new parameter calibration method based on the lumped-parameter musculoskeletal model. Compared with the existing calibration method in the lumped-parameter musculoskeletal model
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Task-Oriented Collision Avoidance in Fixed-Base Multi-manipulator Systemsd-effector tasks. In this paper, a novel framework for generating collision-free trajectories while respecting task priorities is proposed. Firstly, a data-driven approach is applied to learn an efficient representation of the distance decision function of the system. The function is then working as
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