A Hierarchical Fuzzy Control Design for Indoor Mobile Robot

This paper presents a motion control for an autonomous robot navigation using fuzzy logic motion control and stereo vision based path-planning module. This requires the capability to maneuver in a complex unknown environment. The mobile robot uses intuitive fuzzy rules and is expected to reach a specific target or follow a prespecified trajectory while moving among unforeseen obstacles. The robot's mission depends on the choice of the task. In this paper, behavioral-based control architecture is adopted, and each local navigational task is analyzed in terms of primitive behaviors. Our approach is systematic and original in the sense that some of the fuzzy rules are not triggered in face of critical situations for which the stereo vision camera can intervene to unblock the mobile robot.

[1]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[2]  Dario Floreano,et al.  Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots , 2001, EvoRobots.

[3]  Ioan Dumitrache,et al.  FUZZY CONTROL OF AUTONOMOUS MOBILE ROBOT , 2010 .

[4]  Sumetee kesorn Visual Navigation for Mobile Robots: a Survey , 2012 .

[5]  Sebastian Thrun,et al.  FastSLAM: a factored solution to the simultaneous localization and mapping problem , 2002, AAAI/IAAI.

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

[7]  Stephen Yurkovich,et al.  Fuzzy Control , 1997 .

[8]  Wilfried Elmenreich,et al.  A Robust Certainty Grid Algorithm for Robotic Vision , 2001 .

[9]  Amur S. Al Yahmedi,et al.  Fuzzy Logic Based Navigation of Mobile Robots , 2011 .

[10]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[11]  S. Cubero Industrial and Mobile Robot Collision – Free Motion Planning Using Fuzzy Logic Algorithms , 2012 .

[12]  Yoram Koren,et al.  Potential field methods and their inherent limitations for mobile robot navigation , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[13]  Homayoun Seraji,et al.  Behavior-based robot navigation on challenging terrain: A fuzzy logic approach , 2002, IEEE Trans. Robotics Autom..

[14]  In-So Kweon,et al.  Automatic edge detection method for the mobile robot application , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[15]  M. Pechoucek,et al.  Accelerated A * Trajectory Planning : Grid-based Path Planning Comparison , 2009 .

[16]  Hedjar Ramdane,et al.  Accurate floor detection and segmentation for indoor navigation using RGB + D and stereo cameras , 2012 .

[17]  Yongji Wang,et al.  The Wall-Following Controller for the Mobile Robot Using Spiking Neurons , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[18]  I. Gavrilut,et al.  Wall-following method for an autonomous mobile robot using two IR sensors , 2008, ICONS 2008.

[19]  Nak Young Chong,et al.  Virtual repulsive force field guided coordination for multi-telerobot collaboration , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).