Title :
Robot path planning for maze navigation
Author :
Dracopoulos, Dimitris C.
Author_Institution :
Dept. of Comput. Sci., Brunel Univ., Uxbridge, UK
Abstract :
This paper presents the application of multilayer perceptrons to the robot path planning problem, and in particular to the task of maze navigation. Previous published results implied that the training of feedforward multilayered networks failed, because of the nonsmoothness of data. Here the same maze problem is revisited
Keywords :
mobile robots; multilayer perceptrons; path planning; maze navigation; multilayer perceptrons; robot path planning; Application software; Artificial intelligence; Computer science; Humans; Navigation; Orbital robotics; Path planning; Robustness; Service robots; Tracking;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.687180
