A Real-Time Motion Detection and Object Tracking Framework for Future Robot-Rat Interaction

Chen Chen, Guanglu Jia, Zihang Gao, Xiaowen Guo, Qiang Huang, Toshio Fukuda, Qing Shi

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In this paper, we propose an automatic robot-rat interaction framework that enables a robotic rat to realize real-time localization, tracking and movement analysis of a laboratory rat. Specifically, we combine an object detector with stereo matching to achieve fast localization of the laboratory rat. Combined with the rat-like motion of the robot, one-step tracking of the rat is achieved, which enables the robot to eliminate last location error in one cycle of visual servo control. When positioning the rat, a unified quantitative description and analysis of rat motion is implemented by using a state vector composed of the centroids of head, body and tail. Preliminary robot-rat interaction tests show that the robot achieved a steady tracking of a fast-moving rat for a duration of 10 minutes. To the best of our knowledge, it is the first time that a rat-sized robot achieves a continuous tracking of actual rats by a built-in miniature stereo vision system. Experimental results show that the sequence of state vectors accurately represents the pitch movement of the rat. Thus, this work is a step toward more natural interaction between robots and animals.

源语言英语
主期刊名IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
出版商Institute of Electrical and Electronics Engineers Inc.
7404-7409
页数6
ISBN(电子版)9781665417143
DOI
出版状态已出版 - 2021
活动2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021 - Prague, 捷克共和国
期限: 27 9月 20211 10月 2021

出版系列

姓名IEEE International Conference on Intelligent Robots and Systems
ISSN(印刷版)2153-0858
ISSN(电子版)2153-0866

会议

会议2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021
国家/地区捷克共和国
Prague
时期27/09/211/10/21

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