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

doi:10.1117/12.664708

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 journal › Conference article › peer-review

Abstract

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 language	English
Article number	60423J
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6042 II
DOIs	https://doi.org/10.1117/12.664708
Publication status	Published - 2005
Event	ICMIT 2005: Control Systems and Robotics - Chongging, China Duration: 2005 Sept 20 → 2005 Sept 23

All Science Journal Classification (ASJC) codes

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

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10.1117/12.664708

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

abstract = "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.",

author = "Kim, {Jang Hyun} and Park, {Jin Bae} and Yang, {Hyun Seok} and Park, {Yong Pil}",

year = "2005",

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language = "English",

volume = "6042 II",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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T1 - Generation of fuzzy rules and DNA coding method for cooperative behavior of Autonomouse Mobile Robots(AMRs)

AU - Kim, Jang Hyun

AU - Park, Jin Bae

AU - Yang, Hyun Seok

AU - Park, Yong Pil

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

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T2 - ICMIT 2005: Control Systems and Robotics

Y2 - 20 September 2005 through 23 September 2005

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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