Unmanned vehicles on the rise: a review on projects of cooperating robot teams
Author:
Schweim Anne1, Zager Marvin2, Schweim Marie1, Fay Alexander2, Horn Joachim1
Affiliation:
1. Institute of Control Engineering at the Helmut-Schmidt-University , 22043 Hamburg , Germany 2. Institute of Automation Technology at the Helmut-Schmidt-University , 22043 Hamburg , Germany
Abstract
Abstract
Teams consisting of cooperating mobile robots are able to carry out tasks faster and more effectively than individual robots. Previous research projects have focused on teams of homogeneous robots in particular, whereas heterogeneous robots are becoming increasingly important. In this paper, the fundamentals of both homogeneous and heterogeneous robot teams are examined. In this context, not only key fundamentals are distinguished from each other, but also potential applications and advantages of multi-robot systems (MRS) are shown. The rapid development of autonomous MRS is shown by means of exemplarily selected research projects, whereby the individual approaches of these projects are systematically compared and evaluated. Finally, an outlook on remaining challenges in the field of autonomous heterogeneous MRS is given.
Publisher
Walter de Gruyter GmbH
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Reference80 articles.
1. E. Yanmaz, S. Yahyanejad, B. Rinner, H. Hellwagner, and C. Bettstetter, “Drone networks: communications, coordination, and sensing,” Ad Hoc Netw., vol. 68, pp. 1–15, 2018. https://doi.org/10.1016/j.adhoc.2017.09.001. 2. Y. Cai and S. X. Yang, “A Survey on multi-robot systems,” in World Automation Congress, 2012. 3. F. de Rango, N. Palmieri, X.-S. Yang, and S. Marano, “Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks,” Soft Comput., vol. 22, pp. 4251–4266, 2018. https://doi.org/10.1007/s00500-017-2819-9. 4. Y. Rizk, M. Awad, and E. W. Tunstel, “Cooperative heterogeneous multi-robot systems,” ACM Comput. Surv., vol. 52, pp. 1–31, 2019. https://doi.org/10.1145/3303848. 5. Y. Carreno, È. Pairet, Y. Petillot, and R. P. A. Petrick, “Task allocation strategy for heterogeneous robot teams in offshore missions,” in Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, Richland, SC, International Foundation for Autonomous Agents and Multiagent Systems, 2020, pp. 222–230.
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