GA Algorithms in Intelligent Robots

Toshio Fukuda, Naoyuki Kubota and Takemasa Arakawa
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Toshio Fukuda: Nagoya University, Department of Micro System Enginering
Naoyuki Kubota: Nagoya University, Department of Micro System Enginering
Takemasa Arakawa: Nagoya University, Department of Micro System Enginering

Chapter 2.1 in Fuzzy Evolutionary Computation, 1997, pp 81-105 from Springer

Abstract: Abstract This chapter presents the role of genetic algorithms in intelligent robots. In general, the motion planning problems in intelligent robots can be fundamentally split into path planning problems, trajectory planning problems, and task planning problems. These planning faculties have many constraints concerning kinematics and dynamics of the robot and therefore it is very difficult to solve these planning problems. This chapter presents the general application of genetic algorithms to these planning tasks. Furthermore, the chapter discusses a trajectory planning problem for redundant manipulators and a motion planning problem for biped locomotion robots.

Keywords: Mobile Robot; Planning Problem; Robot Manipulator; Intelligent Robot; Trajectory Planning (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1007/978-1-4615-6135-4_4

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