Saturation Function and Rule Library-Based Control Strategy for Obstacle Avoidance of Robot Manta

Yu Xie, Shumin Ma, Yue He, Yonghui Cao, Yong Cao, Qiaogao Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The abilities to detect and avoid obstacles are the most significant concerns for a robot manta to achieve a safe operation in a complex environment. This paper presents a control strategy of bioinspired robot manta for obstacle avoidance in an unknown environment. In this control strategy, four laser distance sensors are used to acquire the distance from the obstacle to the robot manta. Then, the turning speed is calculated by the saturation function. And the turning direction is depended on the rule library where strategies are developed by possible locations of obstacles. Combining the saturation function and rule library, the robot manta can obtain appropriate motion instructions to avoid obstacles. The experiment results demonstrate that the proposed control strategy worked well and the robot manta can swim freely to avoid a collision.

源语言英语
主期刊名Cognitive Systems and Information Processing - 7th International Conference, ICCSIP 2022, Revised Selected Papers
编辑Fuchun Sun, Angelo Cangelosi, Jianwei Zhang, Yuanlong Yu, Huaping Liu, Bin Fang
出版商Springer Science and Business Media Deutschland GmbH
463-473
页数11
ISBN(印刷版)9789819906161
DOI
出版状态已出版 - 2023
活动7th International Conference on Cognitive Systems and Information Processing, ICCSIP 2022 - Fuzhou, 中国
期限: 17 12月 202218 12月 2022

出版系列

姓名Communications in Computer and Information Science
1787 CCIS
ISSN(印刷版)1865-0929
ISSN(电子版)1865-0937

会议

会议7th International Conference on Cognitive Systems and Information Processing, ICCSIP 2022
国家/地区中国
Fuzhou
时期17/12/2218/12/22

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