Navigation of Multiple Cooperative Robots using Multi-Objective Continuous Ant Colony Optimized Fuzzy Controllers / 使用多目標連續蟻群最佳化模糊控制器於多台合作型機器人導航

碩士 / 國立中興大學 / 電機工程學系所 / 105 / This thesis proposes a new method for the navigation of multiple wheeled mobile robots cooperatively carrying an object in unknown environments. In the navigation course, multiple robots cooperatively perform either an obstacle-boundary-following (OBF) or a target seeking (TS) behavior to reach a target. Evolutionary fuzzy control of two/three robots in executing the cooperative OBF behavior through a data-driven advanced multi-objective continuous ant colony optimization (AMO-FCACO) is used. The AMO-FCACO is used to learn all unconstrained parameters in a fuzzy controller (FC), which avoids the time-consuming manual design task. The AMO-FCACO-designed FC is first applied to control a single robot for the OBF behavior in a training environment, where training environment includes both inner and outer corners with right angles. The learning approach is then applied to solve the cooperative OBF problem of two/three cooperative robots, where AMO-FCACO is used to design complementary FCs for the other robots. Performance of the AMO-FCACO is verified through comparisons with various population-based optimization algorithms in the cooperative OBF behavior learning problem. In the three cooperative robots control problem, two online learning approaches using gradient descent and fuzzy Q-learning are proposed to update the parameters of an AMO-FCACO-designed FC for the third robot to track a desired trajectory. For the cooperative TS behavior, this thesis proposes a rule for coordination of the two/three robots. A cooperative behavior supervisor is proposed to coordinate the learned cooperative OBF behavior and the cooperative TS behavior in navigation, where the problem of dead cycles is considered. Successful navigation of two/three cooperative mobile robots carrying an object in several complex environments verifies the evolutionary fuzzy control and navigation methods.

Identiferoai:union.ndltd.org:TW/105NCHU5441055
Date January 2017
CreatorsChen-An Huang, 黃晨安
Contributors莊家峰
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languageen_US
Detected LanguageEnglish
Type學位論文 ; thesis
Format67

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