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URN etd-0805108-141925 Statistics This thesis had been viewed 4222 times. Download 3511 times. Author Ming-Cheng Cai Author's Email Address No Public. Department Mechanical Engineering Year 2007 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 47 Title Improving the Path Following Performance of Mobile Robot with Genetic Algorithm Keyword track Genetic algorithm autonomous vehicle autonomous vehicle Genetic algorithm track Abstract Due to the problem of assembly and component, the mobile robot may move away from the track and need correcting direction continuously. In this research, the genetic algorithm is applied to optimize speeds of wheels to improve the path following capability and save time.
It is shown that the genetic algorithm can be used to improve the performance of path following of controller.
Advisor Committee Yen-Cheng Lin - advisor
Long-Jyi Yeh - co-chair
Yin-Tien Wang - co-chair
Files Date of Defense 2008-07-01 Date of Submission 2008-08-13