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Soft Computing

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01-01-2012 | Original Paper

Autonomous mobile robot dynamic motion planning using hybrid fuzzy potential field

Authors: Mohammad Abdel Kareem Jaradat, Mohammad H. Garibeh, Eyad A. Feilat

Published in: Soft Computing | Issue 1/2012

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Abstract

A new fuzzy-based potential field method is presented in this paper for autonomous mobile robot motion planning with dynamic environments including static or moving target and obstacles. Two fuzzy Mamdani and TSK models have been used to develop the total attractive and repulsive forces acting on the mobile robot. The attractive and repulsive forces were estimated using four inputs representing the relative position and velocity between the target and the robot in the x and y directions, in one hand, and between the obstacle and the robot, on the other hand. The proposed fuzzy potential field motion planning was investigated based on several conducted MATLAB simulation scenarios for robot motion planning within realistic dynamic environments. As it was noticed from these simulations that the proposed approach was able to provide the robot with collision-free path to softly land on the moving target and solve the local minimum problem within any stationary or dynamic environment compared to other potential field-based approaches.

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Agirrebeitia J, Avile R, de Bustos IF, Ajuria G (2005) A new APF strategy for path planning in environments with obstacles. Mech Mach Theory 40:645–658CrossRefMATHMathSciNet

Baran Hui N, Kumar Pratihar D (2009) A comparative study on some navigation schemes of a real robot tackling moving obstacles. Robotics Comput Integrated Manuf 25:810–828CrossRef

Castillo O, Trujillo L, Melin P (2007) Multiple objective genetic algorithms for path-planning optimization in autonomous mobile robots. Soft Comput Fusion Found Methodol Appl 11:269–279

Cosio F, Castaneda M (2004) Autonomous robot navigation using adaptive potential fields. Math Comput Model J 40:1141–1156

Filliat D, Meyer J (2003) Map-based navigation in mobile robots: I. A review of localization strategies. Cogn Syst Res 4:243–282CrossRef

Ge SS, Cui YJ (2000) New potential functions for mobile robot path planning. IEEE Trans Robotics Autom 16:615–620CrossRef

Ge SE, Cui YJ (2002) Dynamic motion planning for mobile robots using potential field method. Autonomous Robots 13:207–222CrossRefMATH

Hart E, Timmis J (2008) Application areas of AIS: the past, the present and the future. Appl Soft Comput 8:191–201CrossRef

Huang L (2009) Velocity planning for a mobile robot to track a moving target—a potential field approach. Robotics Auton Syst 57:55–63CrossRef

Huanga WH, Fajenb BR, Finka JR, Warrenc WH (2006) Visual navigation and obstacle avoidance using a steering potential function. Robotics Auton Syst 54:288–299CrossRef

Jang J-SR (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23:665–685CrossRef

Jaradat MA, Al-Rousan M, Quadan L (2011) Reinforcement based mobile robot navigation in dynamic environment. Robotics Comput Integrated Manuf 27:135–149CrossRef

Jianping T, Yang S (2003) Genetic algorithm based path planning for a mobile robot. In: Proceedings of IEEE international conference on robotics and automation, pp 1221–1226

Jing X (2005) Behavior dynamics based motion planning of mobile robots in uncertain dynamic environments. Robotics Auton Syst 53:99–123CrossRef

Khated O (1986) Real-time obstacle avoidance for manipulators and mobile robots. Int J Robotics Res 5:90–98

Koren Y, Borenstein J (1991) Potential field methods and their inherent limitations for mobile robot navigation. In: Proceedings of the IEEE conference on robotics and automation, pp 1398–1404

Li Z, Chen X, Xiao W (2004) A new motion planning approach based on artificial potential field in unknown environment. LNCS, pp 376–382

Luh G, Liu W (2008) An immunological approach to mobile robot reactive navigation. Appl Soft Comput J 8:30–45CrossRef

Masoud SA, Masoud AA (2000) Constrained motion control using vector potential fields. IEEE Trans Syst Man Cybern Part A Syst Hum 30:251–272CrossRef

McFetridge L, Ibrahim MY (2009) A new methodology of mobile robot navigation: the agoraphilic algorithm. Robotics Comput Integrated Manuf 25:545–551CrossRef

Matlab Inc. (2008) Matlab fuzzy logic toolbox. http://www.Mathwork.com

Meyer J, Filliat D (2003) Map-based navigation in mobile robots: II. A review of map-learning and path-planning strategies. Cogn Syst Res 4:283–317CrossRef

Tsourveloudis NC, Valavanis KP, Hebert T (2001) Autonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logic. IEEE Trans Robotics Autom 17:490–497CrossRef

Wang Y, Han L, Li M, Wang Q, Zhou J, Cartmel M (2004) A real time path planning approach without the computation of Cspace obstacles. Robetica 22:173–187CrossRef

Zou A, Hou Z, Fu S, Tan M (2006) Neural networks for mobile robot navigation: a survey. Lecture Notes in Computer Science. Springer, Berlin, vol 3972, pp 1218–1226

Title: Autonomous mobile robot dynamic motion planning using hybrid fuzzy potential field
Authors: Mohammad Abdel Kareem Jaradat
Mohammad H. Garibeh
Eyad A. Feilat
Publication date: 01-01-2012
Publisher: Springer-Verlag
Published in: Soft Computing / Issue 1/2012
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-011-0742-z

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