A multi-layered multi fuzzy inference systems for autonomous robot navigation and obstacle avoidance

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2001, Pages 340-343

  Kimiaghalam, Bahram ^a   Homaifar, Abdollah ^a   Suttikulvet, Bodin ^a   Sayyarrodsari, Bijan ^a  

^a NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

Author keywords

Collision avoidance; Fuzzy systems; Mobile robot

Indexed keywords

COLLISION AVOIDANCE; FUZZY CONTROL; MOBILE ROBOTS; NAVIGATION; SENSORS;

FUZZY INFERENCE SYSTEMS; ROBOT NAVIGATION;

FUZZY SETS;

EID: 0035747095     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Obstacle avoidance for kinematically redundant robots using an adaptive fuzzy logic algorithm
2. A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning
3. Simultaneous design of membership functions and rules sets for fuzzy controllers using genetic algorithms
4. Learning based approach to the design of hierarchical hybrid fuzzy PID controllers
5. Fuzzy logic and control: Software and hardware application
6. Fuzzy logic toolbox for use with MATLAB
7. Neuro-fuzzy and solf computing: A computational approach to learning and machine intelligence
8. Fuzzy logic in control systems: Fuzzy logic controller, part I and II
9. Mobile robot miniaturization: A tool for investigation in control algorithms
10. How to evolve autonomous robots: Different approaches in evolution robotics
11. A genetic programming system learning obstacle avoiding behavior and controlling a miniature robot in real time
12. Measuring the complexity of the real environment with evolutionary robot: Evolution of a real mobile robot Khepera to have a minimal structure
13. Evolving real-time behavioral modules for a robot with GP
14. The role of 'hierarchy' in the design of fuzzy logic controllers