Title :
Learning, adaptation and evolution of intelligent robotic system
Author :
Fukuda, Toshio ; Kubota, Naoyuki
Author_Institution :
Dept. of Micro Syst. Eng., Nagoya Univ., Japan
Abstract :
The intelligent capabilities will be required to the robotics system more and more to adapt the system to dynamic environment. The system needs computational intelligence to cope with wider varieties of the tasks under constraints and environments than ever. Some of the important problems including the system architecture, structured intelligence, emergent system and implementation methods is discussed in this paper from the viewpoint of coevolution
Keywords :
adaptive control; intelligent control; learning (artificial intelligence); robots; adaptation; coevolution; dynamic environment; emergent system; evolution; implementation methods; intelligent robotic system; learning; structured intelligence; system architecture; Artificial intelligence; Competitive intelligence; Computational intelligence; Computer architecture; Hardware; Intelligent robots; Intelligent structures; Intelligent systems; Learning; Orbital robotics;
Conference_Titel :
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location :
Gaithersburg, MD
Print_ISBN :
0-7803-4423-5
DOI :
10.1109/ISIC.1998.713626
