Literature DB >> 27925600

Cooperative Robots to Observe Moving Targets: Review.

Asif Khan, Bernhard Rinner, Andrea Cavallaro.   

Abstract

The deployment of multiple robots for achieving a common goal helps to improve the performance, efficiency, and/or robustness in a variety of tasks. In particular, the observation of moving targets is an important multirobot application that still exhibits numerous open challenges, including the effective coordination of the robots. This paper reviews control techniques for cooperative mobile robots monitoring multiple targets. The simultaneous movement of robots and targets makes this problem particularly interesting, and our review systematically addresses this cooperative multirobot problem for the first time. We classify and critically discuss the control techniques: cooperative multirobot observation of multiple moving targets, cooperative search, acquisition, and track, cooperative tracking, and multirobot pursuit evasion. We also identify the five major elements that characterize this problem, namely, the coordination method, the environment, the target, the robot and its sensor(s). These elements are used to systematically analyze the control techniques. The majority of the studied work is based on simulation and laboratory studies, which may not accurately reflect real-world operational conditions. Importantly, while our systematic analysis is focused on multitarget observation, our proposed classification is useful also for related multirobot applications.

Year:  2016        PMID: 27925600     DOI: 10.1109/TCYB.2016.2628161

Source DB:  PubMed          Journal:  IEEE Trans Cybern        ISSN: 2168-2267            Impact factor:   11.448


  3 in total

1.  Genetic Fuzzy Based Scalable System of Distributed Robots for a Collaborative Task.

Authors:  Anoop Sathyan; Kelly Cohen; Ou Ma
Journal:  Front Robot AI       Date:  2020-12-23

2.  Searching and Tracking an Unknown Number of Targets: A Learning-Based Method Enhanced with Maps Merging.

Authors:  Peng Yan; Tao Jia; Chengchao Bai
Journal:  Sensors (Basel)       Date:  2021-02-04       Impact factor: 3.576

Review 3.  Multi-Robot Coordination Analysis, Taxonomy, Challenges and Future Scope.

Authors:  Janardan Kumar Verma; Virender Ranga
Journal:  J Intell Robot Syst       Date:  2021-04-16       Impact factor: 2.646

  3 in total

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