Universität Bielefeld - Sonderforschungsbereich 360
Learning, Adaption and Evolution for the Intelligent Robotic System
Prof. Toshio Fukuda
President, IEEE Robotics & Automation
Center for Cooperative Research
in Advanced Science and Technology, Nagoya University
Furo-cho, Chikusa-ku, Nagoya 464-8603, JAPAN
Friday, May 28th, 1999
15 c.t. Uhr, Hörsaal 7
This talk will provide the background of the learning, adaption and evolution me
thods using the
Fuzzy Logic, Neural Network and Evolutionary Computation method for the intelligent
robotic systems.
In particular, the hybrid system obtained by those methods will be explained clearly,
including the advanced architecture of the system, so that the robotic system can
be made more intelligent in
comparison with the conventional methods. This methodology can be applied to many
industrial sectors.
The robotic system includes the fields of the motion control, trajectory control,
behavior control,
hierarchical system control, teleoperation, distributed robotic system and
human-robot interface. This tutorial will show how the performance can be improved
by employing these proposed methods. Some of
the examples will be shown in the videos.
Anke Weinberger, 1999-05-26