Hybrid autonomous control for heterogeneous multi-agent system

Kazuyuki Ito, Akio Gofuku

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Reinforcement learning is an adaptive and flexible control method for autonomous system. In our previous works, we had proposed a reinforcement learning algorithm for redundant systems: "Q-learning with dynamic structuring of exploration space based on GA (QDSEGA)", and applied it to multi-agent systems. However previous works of the QDSEGA have been restricted to homogeneous agents. In this paper, we extend our previous works of multi-agent systems, and propose a hybrid autonomous control method for heterogeneous multi-agent systems. To demonstrate the effectiveness of the proposed method, simulations of transportation task by 10 heterogeneous mobile robots have been carried out. As a result effective behaviors have been obtained.

Original languageEnglish
Title of host publicationIEEE International Conference on Intelligent Robots and Systems
Pages2500-2505
Number of pages6
Volume3
Publication statusPublished - 2003
Event2003 IEEE/RSJ International Conference on Intelligent Robots and Systems - Las Vegas, NV, United States
Duration: Oct 27 2003Oct 31 2003

Other

Other2003 IEEE/RSJ International Conference on Intelligent Robots and Systems
CountryUnited States
CityLas Vegas, NV
Period10/27/0310/31/03

Fingerprint

Multi agent systems
Reinforcement learning
Mobile robots
Learning algorithms

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Ito, K., & Gofuku, A. (2003). Hybrid autonomous control for heterogeneous multi-agent system. In IEEE International Conference on Intelligent Robots and Systems (Vol. 3, pp. 2500-2505)

Hybrid autonomous control for heterogeneous multi-agent system. / Ito, Kazuyuki; Gofuku, Akio.

IEEE International Conference on Intelligent Robots and Systems. Vol. 3 2003. p. 2500-2505.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ito, K & Gofuku, A 2003, Hybrid autonomous control for heterogeneous multi-agent system. in IEEE International Conference on Intelligent Robots and Systems. vol. 3, pp. 2500-2505, 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, NV, United States, 10/27/03.
Ito K, Gofuku A. Hybrid autonomous control for heterogeneous multi-agent system. In IEEE International Conference on Intelligent Robots and Systems. Vol. 3. 2003. p. 2500-2505
Ito, Kazuyuki ; Gofuku, Akio. / Hybrid autonomous control for heterogeneous multi-agent system. IEEE International Conference on Intelligent Robots and Systems. Vol. 3 2003. pp. 2500-2505
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