Date: 2006.3.8 (Wed) 14:00-14:30
Speaker: Mihoko Otake
Author: Mihoko Otake
Title: From Muscle to Brain - Modelling and Control of Functional Materials and Living Systems
Keywords: modelling, control, electroactive polymer, spinal nervous system, somatosensory information
Type: Organized Session

Affiliation: Science Integration Program - Humans, Department of Frontier Sciences and Science Integration, Division of Project Coordination, PRESTO JST
Position: Lecturer
Collaborator: Toshihisa Takagi, Takagi Lababoratory
Disciplines: Robotics, Polymer Science, Neuroinformatics, Data Science, Collaborative Learning
Societies and Conferences: IEEE, Robotics Society of Japan (RSJ), Information Processing Society of Japan (IPSJ), Japanese Society of Bioinformatics (JSBI), IEEE International Conference on Robotics and Automation, SPIE Electroactive Polymer Actuators and Devices (EAPAD), Intelligent Autonomous Systems, Genome Informatics Workshop, ACM SIGCHI Designing Interactive Systems

Bibliography:
Mihoko Otake, "From Muscle to Brain - Modelling and Control of Functional Materials and Living Systems", Intelligent Autonomous Systems 9 T. Arai et al. (Eds.) IOS Press, pp.1025--1032, 2006.

Abstract:
This paper describes modelling and control of typical open systems: one is electroactive polymer gel and another is spinal nervous system. It is very important to estimate the model based on their mechanisms in order to navigate the subjects into objective states. Firstly, the wave-shape pattern control method was proposed based on the gel model. Wave-shaped gels with varying curvature were obtained by switching the polarity of a spatially uniform electric field. Secondly, time series of images which represent distribution of somatic information inside the spinal cord were successfully obtained through measurement and computation utilizing somatotopic organization model of the spinal cord.
The general problem underlying these studies is the degrees-of-freedom problem. Making use of the nature of functional materials or living systems through modelling their mechanisms helped us to solve the problem.

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