DocumentCode
427585
Title
New approach of neural network for robot path planning
Author
Bin, Ni ; Xiong, Chen
Author_Institution
Dept. of EE, Fudan Univ., Shanghai
Volume
1
fYear
0
fDate
0-0 0
Firstpage
735
Abstract
A novel model of organized neural network is shown to be very effective for path planning and obstacle avoidance in an unknown map which is represented by topologically ordered neurons. With the limited information of neighbor position and distance of the target position, the robot autonomously provides a proper path with free-collision and no redundant exploring in the process of exploring. Finally, the computer simulation illustrates the performance
Keywords
collision avoidance; mobile robots; neural nets; neighbor position; neural network; obstacle avoidance; robot path planning; topologically ordered neurons; Computational modeling; Computer simulation; Hopfield neural networks; Manipulator dynamics; Neural networks; Neurons; Orbital robotics; Path planning; Recurrent neural networks; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location
The Hague
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1398389
Filename
1398389
Link To Document