Behavior Learning of Swarm Robot System using Bluetooth Network
| Autor: | Kwee-Bo Sim, Hyun-Chang Yang, Sang-Wook Seo |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Social robot
Logic Computer science business.industry Swarm robotics Swarm behaviour Mobile robot Computer Science Applications law.invention Robot control Bluetooth Computational Theory and Mathematics Artificial Intelligence law Human–computer interaction Signal Processing Robot Artificial intelligence Percept business |
| Zdroj: | International Journal of Fuzzy Logic and Intelligent Systems. 9:10-15 |
| ISSN: | 1598-2645 |
| DOI: | 10.5391/ijfis.2009.9.1.010 |
| Popis: | With the development of techniques, robots are getting smaller, and the number of robots needed for application is greater and greater. How to coordinate large number of autonomous robots through local interactions has becoming an important research issue in robot community. Swarm Robot Systems (SRS) is a system that independent autonomous robots in the restricted environments infer their status from preassigned conditions and operate their jobs through the cooperation with each other. In the SRS, a robot contains sensor pan to percept the situation around them, communication part to exchange information, and actuator pan to do a work. Especially, in order to cooperate with other robots, communicating with other robots is one of the essential elements. Because Bluetooth has many advantages such as low power consumption, small size module package, and various standard protocols, it is rated as one of the efficient communicating technologies which can apply to small-sized robot system. In this paper, we will develop Bluetooth communicating system for autonomous robots. And we will discuss how to construct and what kind of procedure to develop the communicating system for group behavior of the SRS under intelligent space. |
| Databáze: | OpenAIRE |
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