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Dynamic Motion Planning of Mobile Robot with Fuzzy Approach

S. R. Tandan, R. Sahay, N. Verma


One of the key challenges in Dynamic Motion Planning of Mobile Robots is navigation in environment that are cluttered with obstacle. Motion planning becomes more complex when the configuration and position of obstacle are not known priori for such system Soft Computing Techniques are popularly used. Due to the dynamic uncertainties posed by the vary nature of the problem use of Fuzzy Approach makes the handling the task easier. In this paper a solution is proposed for dynamic motion planning of Mobile Robot with and without obstacle. A Fuzzy Logic Controller is design as a solution to the problem.


Dynamic Motion Planning, Fuzzy Logic Controller, Fuzzy Logic System.

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Majura F.Selekwa , Damion D.Dunlap, Dongqing Shi ,Emmanuel G. Collins Jr.,“Robot navigation in very cluttered environment by preference –based fuzzy bahaviors”, Robotics and Autonomous System, pp 1-15(2007)

Dilip Kumar Pratihar ,Kalyanmoy Deb,Amitabh Ghosh - “A Genetic - Fuzzy approach for mobile Robot navigation among moving obstacles” International Journal of Approximate Reasoning, pp 145-172(1999)

Roland Siegwart and lllah R. Noubakhsh “Introduction to Autonomous Mobile Robots”.

Byoung – Suk Choi ,and Ju-Jang Lee Korea Advanced Institute of Science and Technology Korea(South), “The Position Estimation of Mobile Robot Under Dynamic Environment”.

S. Rajsekaran, G.A. Vijayalakshmi Pai, “Neural Network, Fuzzy Logic, and Algorithm, synthesis and application”.

J. Borenstein, H.R. Everett , L. Feng , and D. Wehe , “ Mobile Robot Positing Sensors and Technique”. Journal of Robotic System, Special Issue on Mobile Robot. Vol. 14 No. 4 pp. 231-249.

Jaikant and Rashmi Sahay, “Algorithm for Optimizing the Path Trajectory of a Humanoid Robot for Stable Walking in Cluttered Environment Considering the Case of Static and Dynamic Obstacles”, Proceeding of National Conference on Communication Technology NCCT’08, 14-15 March 2008.

Sebastian Thrun, Wolfram Burgard, and Dieter Fox, “Probabilistic Robotics”, the MIT Press, 2005. pp.191-199.

Mithun Jacob, “Path Planning of and obstacle avoidance in Unknown Dynamic Environments”, University of Pennsylvania.

P. Fiorini and Z. Shiller, "Heuristic Motion Planning in Dynamic Environments Using Velocity Obstacles", IEEE Robotic & Automation,

San Diego, California, USA, 8-May-1994. Saffiotti, K. Konolige, E.H. Ruspini, “ A multivalued logic approach to integrating planning and control”, Artificial Intelligence 76(1995) 481-526.

Saffiotti, E.H. Ruspini, K. Konolige, “ Blending reactivity and goal directedness in a fuzzy controller”, in: Proceedings of the 2nd IEEE Conference on Fuzzy System, Vol. 1, June 1993

D.W. Payton, J. Rosenblatt, D.M. Keirsey, “Plan guided reaction”, IEEE Transactions on Systems, Man and Cybernetics 20 (6) (1990) 1370-1382.

J. Rosenblatt, DAMN: “Distributed architecture for mobile robot navigation”, Ph.D. Thesis, Carnegie Mellon University Robotics Institute, Pittsburgh, PA, 1997.

Lu Xu, Li-Guo Zhang, De-Gang Chen, Yagn-Zhou Chen, “The mobile robot navigation in dynamic environment” Proceeding of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, 19-22 August 2007.



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