跳至主導覽 跳至搜尋 跳過主要內容

Investigation of hybrid optimization methods to evolve effective gaits of a hexapedal robot

  • Yau Zen Chang*
  • , Chin Yeh Peng
  • , Yu Cheng Wu
  • *此作品的通信作者
  • Chang Gung University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

3 引文 斯高帕斯(Scopus)

摘要

With the understanding that an efficient optimization method is crucial to evolve effective gaits of a walking robot, this work investigates several integrations of well known optimization techniques, including Taguchi method, particle swarm optimization algorithm, and Nelder-Mead simplex method. Four benchmark nonlinear optimization problems are chosen for performance comparison. Numerical results demonstrate the superiority of the Taguchi method that requires only limited number of trials to achieve minimization goals. The method is then implemented experimentally in the search of effective phase difference and cycle time of a six-legged walking robot.

原文英語
主出版物標題Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
頁面697-702
頁數6
DOIs
出版狀態已出版 - 2010
事件2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010 - Kitakyushu, 日本
持續時間: 15 12 2010 → 17 12 2010

出版系列

名字Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010

Conference

Conference2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
國家/地區日本
城市Kitakyushu
期間15/12/10 → 17/12/10

指紋

深入研究「Investigation of hybrid optimization methods to evolve effective gaits of a hexapedal robot」主題。共同形成了獨特的指紋。

引用此