Applied grammatical evolution for humanoid robot action research

• Main Authors: Jun-yu Chen, 陳俊宇
• Other Authors: Jong-Chen Chen
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/01468776298239644393

碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 100 === This paper proposes a "grammatical evolution" approach applied to robots, the robot to imitate and create movement. Different from general robot in the market, by the user to set target action, every time evolution resulting actions are not the same, but evolution process, grammars and actions are recorded for robots, "recalls mechanism".In this study, Robotis’s company developed by the Bioloid robot as a research platform, the movement use "grammatical evolution" to could produce concept of "imitation actions " or " innovative actions ". In this research, we study to get the "imitation actions" or "innovative actions". First, using grammars generate action randomly. Use adaptive function--- longest common subsequence as the action the criteria for assessment and get "action". This "action" determine whether the "imitation action" or "innovative action". Therefore, this study explore the robot the possibility of using grammars to imitate and create action, the resulting actions to create memories of a mechanism, user can create their own robot.