Abstract
This paper describes the principles of control of multi-agent robotic systems. It is a new area of robotics oriented for introduction of robotic not only into industry but into life of human. The main principles of collaborative robotics are the safety of human and easiness of robot control. The problem is how to control not a single robot but a group of robots working together. It is most important for such tasks as rescue operations, environment monitoring etc. Some approaches to solve the task of human control of a group of robots are presented in the paper.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
The mathematical and software models were developed by V.G. Ponomaryov.
References
Nazarova, A.V., Rizhova, T.P.: Technology and algorithms of multi-agent control of robotic system. Vestnik BMSTU, Priborostroenie 6, 93–105 (2012)
Jennings, N., Paratin, P., Jonson, M.: Using intelligent agents to manage business processes. In: The Practical Application of Intelligent Agents and Multi-Agent Technology: Proceedings of the First International Conference, London (UK), pp. 345–376 (1996)
Kapustyan, S.G.: Algorithm of collective improvement of planning of the tasks distribution in a group of robots. Schtuchny Intllect 3, 463–474 (2005)
Kandrashina, E.Yu., Litvinceva, L.V., Pospelov, D.A.: Kowledge Representation of Time and Space in Intelligence Systems. Nauka, Moscow (1989)
Yuschenko, A.S.: Mobile robot route planning in undetermined situation. Mechatron. Autom. Control 1, 31–38 (2004)
Yuschenko, A.S., Tachkov, A.A.: An integrated control system of a fire reconnaissance robot. Vestnik BMSTU Priborostroenie 6, 106–111 (2012)
Vorotnikov, S.A., Ermishin, K.V.: Intelligent control system of a service mobile robot. Vestnik BMSTU Priborostroenie 6, 285–289 (2012). Special issue «Robotic Systems»
Yushchenko, A.S.: Dialogue mode of robot control on the base of fuzzy logic. In: Transaction of the Conference «Extreme Robotics», S-Pb. “Politechnika service”, pp. 143–146 (2015)
Yuschenko, A.S.: Intelligence task planning of robot work. Mechatron. Autom. Control 3, 5–18 (2005)
Zhonin, A.A.: Training algorithm of dialogue manager for a dialogue speech control system of robot. In: Proceedings of International Conference “Integrated Models and Soft Computing in Artificial Intelligence” Moscow, FizMatLit, pp. 395–406 (2011)
Yuschenko, A., Vorotnikov, S., Konyshev, D., Zhonin, A.: Mimic recognition and reproduction in bilateral human-robot speech communication. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) ICR 2016. LNCS (LNAI), vol. 9812, pp. 133–142. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-43955-6_17
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Vorotnikov, S., Ermishin, K., Nazarova, A., Yuschenko, A. (2018). Multi-agent Robotic Systems in Collaborative Robotics. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2018. Lecture Notes in Computer Science(), vol 11097. Springer, Cham. https://doi.org/10.1007/978-3-319-99582-3_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-99582-3_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99581-6
Online ISBN: 978-3-319-99582-3
eBook Packages: Computer ScienceComputer Science (R0)