Abstract
Area coverage is a well-known problem in multi robotic systems, and it is a typical requirement in various real-world applications. A common and popular approach in the robotic community is to use explicit forms of communication for task allocation and coordination. These approaches are susceptible to the loss of communication signal, and costly with high computational complexity. There are very few approaches which are focused on implicit forms of communication. In these approaches, robots rely only on their local information for task allocation and coordination. In this paper, a cooperative strategy is proposed by which a team of robots perform spraying a large field. The focus of this paper is to achieve task allocation and coordination using only the robots’ local information.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Anil, H., Nikhil, K., Charitra, V., Gurusharan, B.: Revolutionizing farming using swarm robotics. In: 6th International Conference on Intelligent Systems, Modelling and Simulation, 19(3), pp. 141–147 (2015)
Blackmore, S.: Precision farming and agricultural engineering for the 21st century: How to make production agriculture more efficient. Presentation (2010)
Drenjanac, D., Tomic, S., Klausner, L., Kuhn, E.: Harnessing coherence of area decomposition and semantic shared spaces for task allocation. Inf. Process. Agric. 1(1), 23–33 (2014)
Farinelli, A., Iocchi, L., Nardi, D.: A classification focused on coordination. Mult-Agent Robot. Syst. 34(5), 2015–2028 (2004)
Fazeli, P., Davoodi, A., Pasquier, A.: Fault-tolerant multi-robot area coverage with limited visibility. In: Proceedings of the IEEE International Conference on Robotics & Automation (ICRA) (2010)
Fazli, P.: On multi-robot area coverage. In: proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pp. 1669–1670 (2010)
Janani, A., Alboul, L., Penders, J.: Multi-agent cooperative area coverage: case study ploughing. In: 2016 International Conference of Autonomous Agents and Multi-Agent Systems (AAMAS) (2016)
Karla, N., Martinoli, A.: A comparative study of market-based and threshold-based task allocation. In: Gini, M., Voyles, R. (eds.) Distributed Autonomous Robotic Systems 7, pp. 91–101. Springer, Tokyo (2006)
Li, N., Remeikas, C., Xu, Y., Jayasuriya, S., Ehsani, R.: Task assignment and trajectory planning algorithm for a class of cooperative agricultural robots. J. Dyn. Syst. Measur. Control 137(5), 1–9 (2015)
Liu, C., Kroll, A.: Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative tasks. J. Soft Comput. 19(3), 567–584 (2014)
Liu, J., Wu, J.: Mult-Agent Robotic Systems. CRC Press, New York (2001)
Noguchi, N.: Robot farming system using multiple robot tractors in japan agriculture. In: Preprints of the 18th IFAC World Congress Milano, pp. 633–637 (2006)
Rangbar-Sahaei, B., Weiss, G., Nakisaee, A.: Stigmergic coverage algorithm for multi-robot systems. In: Proceeding of AAMAS 2012 (2012)
Raper, R.L., Kirby, J.M.: Soil Compaction: How to Do it, Undo it, or Avoid it. ASABE Distinguished Lecture Series. American Society of Agriculture and Biological Engineers, Michigan (2006)
Tsalatsanis, A., Yalcin, A., Valavanis, K.: Dynamic task allocation in cooperative robotic systems. Int. J. Adv. Robot. Syst. 6(4), 309–318 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Janani, A., Alboul, L., Penders, J. (2016). Multi Robot Cooperative Area Coverage, Case Study: Spraying. In: Alboul, L., Damian, D., Aitken, J. (eds) Towards Autonomous Robotic Systems. TAROS 2016. Lecture Notes in Computer Science(), vol 9716. Springer, Cham. https://doi.org/10.1007/978-3-319-40379-3_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-40379-3_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40378-6
Online ISBN: 978-3-319-40379-3
eBook Packages: Computer ScienceComputer Science (R0)