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Related Experiment Video

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Morphological computation and morphological control: steps toward a formal theory and applications.

Rudolf M Füchslin¹, Andrej Dzyakanchuk, Dandolo Flumini

¹Zurich University of Applied Sciences, Switzerland. rudolf@zhaw.ch

Artificial Life

|November 29, 2012

Summary

This study explores morphological control, using physical system properties for efficient computation. Applications include medical devices for movement impairment and micro-scale chemical systems for self-assembly and cell repair.

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Area of Science:

Robotics and Control Systems
Biophysics
Materials Science

Background:

Morphological computation leverages physical system characteristics for computational efficiency.
Morphological control applies these principles to control tasks.
Existing definitions require refinement and formalization.

Purpose of the Study:

To formalize and extend definitions of morphological computation and control.
To explore novel applications of morphological control in medicine and chemistry.
To investigate the role of physical dynamics and stochastic processes in micro-scale systems.

Main Methods:

Theoretical analysis and formal definition refinement.
Development of an inflatable support system for impaired movement using macroscopic physics.
Modeling of micro-scale systems including self-assembling chemical microreactors and induced cell repair in radio-oncology.

Main Results:

Proposed formalized definitions for morphological computation and control.
Demonstrated feasibility of macroscopic morphological control for assistive devices.
Investigated micro-scale self-assembly and cell repair dynamics influenced by diffusion and phase transitions.

Conclusions:

Morphological control offers a promising framework for efficient computation and control across scales.
The study highlights the potential of physical system dynamics in both macroscopic and microscopic applications.
Further research is needed to address limitations in current definitions and explore broader applications.