Title :
Path planning with neural subgoal search
Author :
Baginski, Boris ; Eldracher, Martin
Author_Institution :
Fakultat fur Inf., Tech. Univ. Munchen, Germany
fDate :
27 Jun-2 Jul 1994
Abstract :
A system for robot path planning is presented, that is able to find useful and efficient subgoals in an arbitrary environment. The system consists of two pairs of separately trained networks and an underlying layer of learning units. The network´s training is completely based on the most elementary sensoric informations. The created solutions in two and three dimensional simulation environments prove the networks capability to build up a meaningful world model that is effectively applied to the tasks
Keywords :
learning (artificial intelligence); manipulators; neural nets; path planning; search problems; elementary sensoric information; learning units; neural subgoal search; robot path planning; simulation environments; world model; Computational efficiency; Costs; Neural networks; Path planning; Performance evaluation; Robots;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374662
