Title :
New approach of neural network for robot path planning
Author :
Bin, Ni ; Xiong, Chen
Author_Institution :
Dept. of EE, Fudan Univ., Shanghai
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;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1398389
