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Trajectory Generation of A Human-Friendly Robot using An Interactive Genetic Algorithm

Kubota, Naoyuki and Sulistijono, Indra Adji and Kojima, Fumio (2002) Trajectory Generation of A Human-Friendly Robot using An Interactive Genetic Algorithm. In: Asia-Pasific Conference on Simulated Evolution and Learning (SEAL) 2002, Nov 18-22, 2002, Singapore.

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    This paper deals with human-friendly trajectory generation of a robot manipulator. Various methods for the trajectory generation have been proposed so far, but robots must deal with environments including human operators. This paper applies an interactive genetic algorithm for the trajectory generation using human evaluation, but the detail of the human evaluation is not clear. Therefore, we must estimate human evaluation through the optimization process, and we use a state-value function used often in reinforcement learning. Furthermore, we discuss the effectiveness of the proposed method through some experiments of the robot manipulator.

    Item Type: Conference or Workshop Item (Speech)
    Additional Information: ISBN: 981-04-7536-5
    Uncontrolled Keywords: interactive genetic algorithm
    Subjects: T Technology > TJ Mechanical engineering and machinery
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Dr.Eng. Indra Adji Sulistijono
    Date Deposited: 21 Mar 2012 09:10
    Last Modified: 21 Mar 2012 09:10

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