Abstract
In this paper, we built a device and algorithm for distributed autonomous guidance system (DAGS). In this system, autonomous mobile robots construct guidance information structure by means of an Intelligent Data Carrier (IDC). We make models of dynamic environments, and investigate the behaviors of autonomous robots guided by DAGS. We create an algorithm that estimates the validity of knowledge in an IDC and allows the IDC to renew the knowledge autonomously. We verify effectiveness of the proposed algorithm by means of simulations.
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© 2002 Springer-Verlag Tokyo
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Kurabayashi, D., Asama, H. (2002). Heuristic Approach of a Distributed Autonomous Guidance System to Adapt to the Dynamic Environment. In: Asama, H., Arai, T., Fukuda, T., Hasegawa, T. (eds) Distributed Autonomous Robotic Systems 5. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65941-9_36
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DOI: https://doi.org/10.1007/978-4-431-65941-9_36
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-65943-3
Online ISBN: 978-4-431-65941-9
eBook Packages: Springer Book Archive