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  4. Image-Based Visual Servoing Switchable Leader-follower Control of Heterogeneous Multi-agent Underwater Robot System
 
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Image-Based Visual Servoing Switchable Leader-follower Control of Heterogeneous Multi-agent Underwater Robot System

Citation Link: https://doi.org/10.15480/882.8516
Publikationstyp
Conference Paper
Date Issued
2023-05
Sprache
English
Author(s)
Yao, Kanzhong  
Bauschmann, Nathalie  orcid-logo
Mechanik und Meerestechnik M-13  
Alff, Thies Lennart  orcid-logo
Mechanik und Meerestechnik M-13  
Cheah, Wei
Duecker, Daniel Andre 
Groves, Keir  
Marjanovic, Ognjen  
Watson, Simon  
TORE-DOI
10.15480/882.8516
TORE-URI
https://hdl.handle.net/11420/43169
Citation
IEEE International Conference on Robotics and Automation (ICRA 2023)
Contribution to Conference
IEEE International Conference on Robotics and Automation, ICRA 2023  
Publisher DOI
10.1109/ICRA48891.2023.10160853
Scopus ID
2-s2.0-85168709515
ISBN
9798350323658
Confined and cluttered aquatic environments present a number of significant challenges with respect to inspection by robotic platforms, including localisation and communications. Some of these can be mitigated by using collaborative heterogeneous multi-robot teams. An important element of such a system is collaborative control. This paper addresses this challenge by presenting an Image-Based Visual Servoing (IBVS), leader-follower control system for heterogeneous aquatic robots. Experiments were conducted in an uncluttered pond to demonstrate the capabilities of the system. The results show robots can maintain tracking each other with maximum x and y displacements of 0.42 m and 0.41 m, the maximum projection distance in the xy-plane of maintaining formation is 0.45 m, showing the stability and feasibility of deploying such system on underwater platforms.
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