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Indirect-Mapping EKM
Use
Extended Kohonen Map (EKM) to map input sensory space indirectly
to ouptut motor control
space.

Cooperative EKMs
EKMs
for target localization, obstacle localization, robot kin localization,
motor control.
Online Self-organization of EKMs
EKMs
self-organize to map sensory inputs to motor outputs.
Result of self-organization:
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A/Prof. Leow Wee Kheng,
Dept. of Computer Science, National University of Singapore.
A/Prof.
Marcelo Ang, Dept. of Mechanical Engineering, National University of Singapore.
Mr. Bryan Low Kian Hsiang
(M.Sc.),
Dept. of Computer Science, National University of Singapore.
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K. H. Low, W. K. Leow, and M. H. Ang, Jr. Action selection for single- and
multi-robot tasks using
cooperative extended Kohonen maps.
In Proc. Int. Joint Conf on Artificial Intelligence, 2003,
p. 1505-1506.
K. H. Low, W. K. Leow, and M. H. Ang, Jr. Enhancing the reactive capabilities
of integrated planning
and control with cooperative extended
Kohonen maps. In Proc. IEEE Int. Conf. on Robotics and
Automation, 2003, p. 3428-3433.
K. H. Low, W. K. Leow, and M. H. Ang, Jr. Action selection in continuous
state and action spaces by
cooperation and competition of extended
Kohonen maps. In Proc. Int. Joint Conf. on Autonomous
Agent & Multi Agent Systems,
2003, p. 1056-1057.
K.
H. Low, W. K. Leow, and M. H. Ang, Jr. A hybrid mobile robot architecture
with integrated planning
and control. In Proc. Int.
Joint Conf. on Autonomous Agent & Multi Agent Systems, 2002, p.
219-226.
K.
H. Low, W. K. Leow, and M. H. Ang, Jr. Integrated planning and control of
mobile robot with self-
organizing neural network. In Proc.
IEEE Int. Conf. on Robotics and Automation, 2002, p. 3870-3875.
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