Tzuu-Hseng S. Li

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: In this article, an adaptive sliding-mode dynamic controller for wheeled mobile robots is proposed to implement the trajectory tracking mission, and the convergence of the complete equations of motion of the robot is proved by the Lyapunov stability theory.

TL;DR: The proposed IT2FSMC is a combination of the interval type-2 fuzzy logic control (IT2FLC) and the sliding-mode control (SMC) which inherits the benefits of these two methods and achieves the best tracking performance in comparison with the type-1 Fuzzy logic controller (T1FLC), the IT 2FLC, and thetype-1 fuzzy sliding- mode controller ( T1FSMC).

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.