Generation of fuzzy rules and DNA coding method for cooperative behavior of Autonomouse Mobile Robots(AMRs)

Jang Hyun Kim, Jin Bae Park, Hyun Seok Yang, Yong Pil Park

Research output: Contribution to journalConference article


Complex "lifelike" behaviors are composed of local interactions of individuals under fundamental rules of artificial life. In this paper, fundamental rules for cooperative group behaviors, "flocking" and "arrangement" of multiple autonomouse mobile robots were represented by a small number of fuzzy rules by Subtractive clustering algorithm and DNA coding method. Fuzzy rules in Sugeno type and their related parameters were automatically generated from clustering input-output data obtained from the algorithms for the group behaviors. Simulations demonstrate the fuzzy rules successfully realize group intelligence of mobile robots.

Original languageEnglish
Article number60423J
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6042 II
Publication statusPublished - 2005 Dec 1
EventICMIT 2005: Control Systems and Robotics - Chongging, China
Duration: 2005 Sep 202005 Sep 23


All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this