Shih-Jie Chang

TL;DR: In this paper, the concepts of car maneuvers, fuzzy logic control (FLC), and sensor-based behaviors are merged to implement the human-like driving skills by an autonomous car-like mobile robot (CLMR).

TL;DR: The theme of this paper is to design a real-time fuzzy target tracking control scheme for autonomous mobile robots by using infrared sensors, which consists of a behavior network and a gate network.

TL;DR: This paper proposes two FGPC methods and two FPPC methods to back-drive or head-in the CLMR to the garage and the parking lot, respectively and demonstrates the feasibility and effectiveness of the proposed schemes.

TL;DR: The hardware architecture of the CTMR is introduced, which consists the robot mechanism, microcomputer part, electronic driver, and sensor, and two fuzzy parallel-parking controls (FPPC), the backward and forward parallel parking, are provided to maneuver the steering angle of theCTMR.

TL;DR: The authors not only investigate intelligent parallel-parking control methods but also real-time maneuvering of the developed sensor-based mobile robot, which demonstrates the feasibility of the fuzzy control scheme.