Title :
Creativity support using chaotic retrieval on fuzzy associative memory system
Author :
Yamaguchi, T. ; Sato, T. ; Wakamatsu, Y. ; Hashimoto, T.
Author_Institution :
Fac. of Eng., Utsunomiya Univ., Japan
Abstract :
This paper proposes a self-organization method using fuzzy knowledge based on chaotic retrieval which imitates human creativity. We apply this proposed method to a mobile robot which avoids obstacles and to mobile robots which move together. By using the proposed method, each robot creates a right way by itself and acquires a new control rule, even its environment changes. We show the usefulness of the method from simulation results and actual experiments
Keywords :
chaos; content-addressable storage; fuzzy control; fuzzy neural nets; intelligent control; knowledge representation; mobile robots; path planning; robot vision; self-adjusting systems; chaotic retrieval; chaotic steepest descent method; creativity support; fuzzy associative inference; fuzzy associative memory system; fuzzy knowledge; fuzzy neural networks; intelligent robots; knowledge representation; mobile robot; obstacle avoidance; robot vision; self-organization; Associative memory; Chaos; Fuzzy systems; Humans; Intelligent agent; Intelligent robots; Mobile robots; Robot kinematics; Robotics and automation; Service robots;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.565426