Improvement of group performance of job distributed mobile robots by an emotionally biased control system

Sajal Chandra Banik, Keigo Watanabe, Kiyotaka Izumi

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


This paper deals with the implementation of emotions in mobile robots performing a specified task in a group in order to develop intelligent behavior and easier forms of communication. The overall group performance depends on the individual performance, group communication, and the synchronization of cooperation. With their emotional capability, each robot can distinguish the changed environment, can understand a colleague robot's state, and can adapt and react with a changed world. The adaptive behavior of a robot is derived from the dominating emotion in an intelligent manner. In our control architecture, emotion plays a role to select the control precedence among alternatives such as behavior modes, cooperation plans, and goals. Emotional interaction happens among the robots, and a robot is biased by the emotional state of a colleague robot in performing a task. Here, emotional control is used for a better understanding of the colleague's internal state, for faster communication, and for better performance eliminating dead time.

Original languageEnglish
Pages (from-to)245-249
Number of pages5
JournalArtificial Life and Robotics
Issue number1-2
Publication statusPublished - Dec 1 2008
Externally publishedYes


  • Colleague robot
  • Distributed job
  • Emotion
  • Markov modeling theory
  • Multiagent system

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence


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