| Co-Investigator(Kenkyū-buntansha) |
TAGAWA Kiyoharu Kobe University, Faculty of Engineering, Research Associate, 工学部, 助手 (50252789)
INOUE Katsumi Kobe University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (10252321)
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| Research Abstract |
In this research project, a new concept so-called "interactive algorithm" is advocated, where some superior function is emerged through the interaction among several systems including a human being. Concretely, five types of systems are considered, namely, computer, human, robot, optimization algorithm, and environment. First of all, an intelligent robot that distinguishes several different environments and completes a given task is studied. Through the interaction with surrounding environment, the robot recognizes not only current environment but also its own position successfully, whereas the robot has no map representing the world in which it is going to act. Next, in order to realize the emergent approach for design of artificial systems, a man-machine cooperative design tool, Interactive Genetic Algorithm Viewer (IGAV), is developed and applied to the optimal design of mobile manipulators. Finally, a meta-heuristic strategy that combines the global search power of GA with the local search power of conventional local optimization algorithm effectively is proposed.
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