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Content Provider | IEEE Xplore Digital Library |
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Author | Banik, S.C. Pathiranage, C.D. Watanabe, K. Izumi, K. |
Copyright Year | 2007 |
Description | Author affiliation: Dept. of Adv. Syst. Control Eng., Saga Univ., Saga (Banik, S.C.) |
Abstract | This paper deals with the implementation of emotions to generate intelligent behavior among the cooperative and job distributed mobile robots performing a specified task and to develop an easier form of communication. A human emotion model is adapted to multirobot system to achieve their well organized tasks. With the emotional capability, each robot can distinguish the changed environment and can understand colleague robotpsilas state: i.e., it can adapt to and react with changed world. The behavior of a robot is derived from the dominating emotion and emotional interaction in an intelligent manner. Emotional interaction is happened among the robots and a robot is biased by the emotional state of the colleague robot in performing task. Here general emotional interaction rules are used for better understanding to read the colleaguepsilas state, for faster communication and better performance eliminating dead time. The characteristics of behavior obtained through simulation are analyzed. A stochastic model based on Markov theory is developed to model the emotional state of each robot. |
Starting Page | 517 |
Ending Page | 522 |
File Size | 417748 |
Page Count | 6 |
File Format | |
ISBN | 9781424411511 |
DOI | 10.1109/ICIINFS.2007.4579232 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-08-09 |
Publisher Place | Sri Lanka |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Robot control Decision making Communication system control Control systems Robot sensing systems Communication system traffic control Multirobot systems Human robot interaction Intelligent robots Centralized control |
Content Type | Text |
Resource Type | Article |
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