Robot Control with Biological Cells

Tsuda, S., Zauner, K. P. and Gunji, Y. P. (2005) Robot Control with Biological Cells. In: Sixth International Workshop on Information Processing in Cells and Tissues, Aug. 30--Sept. 1, 2005, St. William's College, York. pp. 202-216.

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Abstract

At present there exists a large gap in size, performance, adaptability
and robustness between natural and artificial information processors
for performing coherent perception-action tasks under real-time
constraints. Even the simplest organisms have an enviable capability
of coping with an unknown dynamic environment. Robots, in contrast,
are still clumsy if confronted with such complexity. This paper
presents a bio-hybrid architecture developed for exploring an
alternate approach to the control of autonomous robots. Circuits
prepared from amoeboid plasmodia of the slime mold Physarum
polycephalum are interfaced with an omnidirectional hexapod
robot. Sensory signals from the macro-physical environment of the
robot are transduced to cellular scale and processed using the unique
micro physical features of intracellular information
processing. Conversely, the response form the cellular computation is
amplified to yield a macroscopic output action in the environment
mediated through the robot's actuators.

Creators:	Soichiro Tsuda, Klaus-Peter Zauner, Yukio-Pegio Gunji
Item Type:	Conference or Workshop Item
Keywords:	autonomous robots, molecular computing, coupled oscillators, biologically-inspired robotics
Research Group:	Intelligence, Agents, Multimedia Science and Engineering of Natural Systems BIO@ECS Research Group
Deposited On:	05 Oct 2005 by Zauner, Klaus-Peter
ID Code:	11294
Last Modified:	23 Jan 2010 15:46
Performance Indicator:	EZ~03~02~04
Citations:	ISI: 8, Google Scholar: 28