Kazuyuki Murase
Papers
27
Total Citations
264
H-Index
10
About
Kazuyuki Murase is a pioneering researcher in autonomous robotics, computational intelligence, and biologically inspired neural systems, whose work spans more than two decades of influential contributions to the field. His research is perhaps best known for investigating the chaotic dynamics of behavior-based mobile robots, with his 2004 paper on the effects of environment and control structure accumulating 52 citations and establishing foundational insights into how environmental complexity shapes robot behavior. Murase has made significant strides in applying spiking neural networks (SNNs) to real autonomous mobile robots, developing self-organizing, adaptive controllers inspired by biological models such as Aplysia, incorporating spike timing-dependent plasticity to enable genuine sensorimotor learning in dynamic environments. His early work on genetic evolution of logic circuits for robot control (1997) demonstrated a forward-thinking embrace of evolutionary computation, later extended to measuring environmental complexity through evolved minimal robot structures. Murase has also contributed to advanced fuzzy logic control, co-developing type-2 quantum fuzzy logic controllers for robot manipulators under uncertainty. As a co-organizer of the AMiRE 2005 symposium, he has actively cultivated the international autonomous minirobots research community, cementing his reputation as both an innovative researcher and a valued contributor to collaborative scientific discourse.
Research Focus
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