Application of Collective Robotic Search using Neural Network based Dual Heuristic Programming (DHP)

Author

Nian Zhang
Donald C. Wunsch, Missouri University of Science and TechnologyFollow

Abstract

An important application of mobile robots is searching a region to locate the origin of a specific phenomenon. a variety of optimization algorithms can be employed to locate the target source, which has the maximum intensity of the distribution of some detected function. We propose a neural network based dual heuristic programming (DHP) algorithm to solve the collective robotic search problem. Experiments were carried out to investigate the effect of noise and the number of robots on the task performance, as well as the expenses. the experimental results were compared with those of stochastic optimization algorithm. It showed that the performance of the dual heuristic programming (DHP) is better than the stochastic optimization method. © Springer-Verlag Berlin Heidelberg 2006.

Recommended Citation

N. Zhang and D. C. Wunsch, "Application of Collective Robotic Search using Neural Network based Dual Heuristic Programming (DHP)," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3972 LNCS, pp. 1140 - 1145, Springer, Jan 2006.

The definitive version is available at https://doi.org/10.1007/11760023_167

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

International Standard Book Number (ISBN)

978-354034437-7

International Standard Serial Number (ISSN)

1611-3349; 0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

01 Jan 2006