Fuzzy logic in Autonomous Robot Navigation - a case study

The development of techniques for autonomous navigation constitutes one of the major trends in the current research on mobile robotics. In this case study, we discuss how fuzzy computation techniques have be used in the SRI International mobile robot Flakey to address some of the diicult issues posed by autonomous navigation: (i) how to design basic behaviors; (ii) how to coordinate behaviors to execute full navigation plans; and (iii) how to use approximate map information. Our techniques have been validated in both in-house experiments and public events. The use of fuzzy logic has resulted in smooth motion control, robust performance in face of errors in the prior knowledge and in the sensor data, and principled integration between diierent layers of control.

[1]  Enrique H. Ruspini,et al.  On the semantics of fuzzy logic , 1991, Int. J. Approx. Reason..

[2]  Kurt Konolige,et al.  A Fuzzy Controller for Flakey, An Autonomous Mobile Robot , 1993, Fuzzy Days.

[3]  Kurt Konolige,et al.  Integrating reactivity and goal-directedness in a fuzzy controller , 1993 .

[4]  Ronald C. Arkin,et al.  Integrating behavioral, perceptual, and world knowledge in reactive navigation , 1990, Robotics Auton. Syst..

[5]  R. James Firby,et al.  An Investigation into Reactive Planning in Complex Domains , 1987, AAAI.

[6]  A. Safiotti,et al.  Fuzzy logic in autonomous robotics: behavior coordination , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[7]  Vic Callaghan,et al.  HIERARCHICAL BEHAVIOURAL CONTROL FOR AUTONOMOUS VEHICLES , 1995 .

[8]  Ren C. Luo,et al.  Multilayered fuzzy behavior fusion for reactive control of an autonomous mobile robot , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[9]  Jyh-Shing Roger Jang,et al.  A hierarchical approach to designing approximate reasoning-based controllers for dynamic physical systems , 1990, UAI.

[10]  M. Sugeno,et al.  Fuzzy Control of Model Car , 1985 .

[11]  Tomoyoshi Takeuchi,et al.  Fuzzy control of a mobile robot for obstacle avoidance , 1988, Inf. Sci..

[12]  J. K. Rosenblatt,et al.  A fine-grained alternative to the subsumption architecture for mobile robot control , 1989, International 1989 Joint Conference on Neural Networks.

[13]  Edward Tunstel,et al.  Mobile Robot Autonomy Via Hierarchical Fuzzy Behavior Control , 1996 .

[14]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[15]  Trevor P Martin,et al.  4th IEEE Int Conf on Fuzzy Systems , 1995 .

[16]  Alessandro Saffiotti,et al.  A Multivalued Logic Approach to Integrating Planning and Control , 1995, Artif. Intell..

[17]  J. R. Bumby,et al.  Fuzzy Logic Guidance and Obstacle Avoidance Algorithms for Autonomous Vehicle Control , 1993 .

[18]  M. Maeda,et al.  Fuzzy drive control of an autonomous mobile robot , 1991 .

[19]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[20]  Alessandro Saffiotti,et al.  Perception-Based Self-Localization Using Fuzzy Locations , 1995, Reasoning with Uncertainty in Robotics.

[21]  John Yen,et al.  A fuzzy logic based extension to Payton and Rosenblatt's command fusion method for mobile robot navigation , 1995, IEEE Trans. Syst. Man Cybern..

[22]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.