Title :
Fuzzy control of a mobile robot
Author :
Cupertino, Francesco ; Giordano, Vincenzo ; Naso, David ; Delfine, Luigi
Author_Institution :
Bari Tech. Univ.
Abstract :
This paper describes the design of a new fuzzy logic-based navigation algorithm for autonomous robots. This design effectively achieves correct environment modeling and noisy and uncertain sensory data processing on low-cost hardware equipment. A hierarchical control strategy is presented in which three different reactive behaviors are fused in a single control law by means of a fuzzy supervisor guaranteeing robot safety and task accomplishment. Due to the inherent transparency of fuzzy logic, the proposed algorithm is computationally light, easily reconfigurable, and well-performing in a wide range of differing operating conditions and environments
Keywords :
fuzzy control; mobile robots; path planning; MATLAB-based rapid prototyping system; autonomous robots; environment modeling; fuzzy control; fuzzy logic-based navigation algorithm; fuzzy supervisor; hierarchical control strategy; low-cost hardware equipment; mobile robot; robot safety; task accomplishment; uncertain sensory data processing; Algorithm design and analysis; Data processing; Fuzzy control; Fuzzy logic; Hardware; Mobile robots; Navigation; Robot sensing systems; Safety; Working environment noise;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2006.250563