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http://dx.doi.org/10.5391/IJFIS.2005.5.4.333

Object Search Algorithm under Dynamic Programming in the Tree-Type Maze  

Jang In-Hun (School of Electrical and Electronic Engineering, Chung-Ang University)
Lee Dong-Hoon (School of Electrical and Electronic Engineering, Chung-Ang University)
Sim Kwee-Bo (School of Electrical and Electronic Engineering, Chung-Ang University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.5, no.4, 2005 , pp. 333-338 More about this Journal
Abstract
This paper presents the target object search algorithm under Dynamic Programming (DP) in the Tree-type maze. We organized an experimental environment with the concatenation of Y-shape diverged way, small mobile robot, and a target object. By the principle of optimality, the backbone of DP, an agent recognizes that a given whole problem can be solved whether the values of the best solution of certain ancillary problem can be determined according to the principle of optimality. In experiment, we used two different control algorithms: a left-handed method and DP. Finally we verified the efficiency of DP in the practical application using our real robot.
Keywords
Dynamic Programming (DP); Left-handed method; Distributed Autonomous Robotic System(DARS); Tree-type maze;
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  • Reference
1 H.-U. Yoon and K.-B. Sim, 'Hexagon-based Q-Iearning for object search with multiple robots,' in Proc. of the 1st international Conference on Natural Computation, 2005, pp.713-722
2 Richard S. Sutton and Andrew G. Barto, Reinforcement Learning, MIT press
3 S. Russell and P. Norvig, Artificial Intelligence: a Modern Approach, New Jersey: Prentice Hall, 2003, pp. 287-295
4 J. Jang, C. Sun, and E. Mizutani, Neuro-Fuzzy and Soft Computing, New Jersey: Prentice Hall, 1997, pp. 258-273
5 R. Kurozumi, S. Fujisawa, T. Yamamoto, and Y. Suita, 'Path planning for mobile robots using an improved reinforcement learning scheme,' in Proc. of the Society of Instrument and Control Engineers, 2002, pp. 2178-2183   DOI
6 H.-U. Yoon, S.-H. Whang, D.-W. Kim, and K.-B. Sim, 'Strategy of cooperative behaviors for distributed autonomous robotics systems,' in Proc. of the 10th International Symposium on Artificial Life and Robotics, 2005,pp.151-154
7 P. L. Lanzi, 'A study of generalization capabilities of XCS,' in Proc. of the 7th International Conference on Genetic Algorithms, 1997, pp. 418-425