A reactive fuzzy logic based control strategy was developed for mobile robot navigation. To decrease the number of fuzzy rules and related processing, a RAM-based neural network was combined with the fuzzy logic strategy. The fuzzy rules are used to interpret sensor information. The neural network uses results from the fuzzy logic as well as environmental information to make navigation decisions. The feasibility of this neuro-fuzzy approach was demonstrated on a mobile robot using a simple, 8-bit microcontroller. Experiments show the approach works well, as the robot was able to successfully avoid objects while seeking a goal in real-time. The neuro-fuzzy approach is code-efficient, fast, and easy to relate to the physical world.

Meeting Name

14th IEEE International Conference on Fuzzy Systems, FUZZ '05 (2005: May 25, Reno, NV)


Electrical and Computer Engineering

Keywords and Phrases

Robot control; Mobile robots; Navigation; Fuzzy logic; Neural networks; Fuzzy systems; Robot sensing systems; Microcontrollers; Microprocessors; Random access memory

International Standard Serial Number (ISSN)


Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2005 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2005