Physical intelligence as a new paradigm
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Author / Producer
Date
2021-07
Publication Type
Journal Article
ETH Bibliography
yes
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Abstract
Intelligence of physical agents, such as human-made (e.g., robots, autonomous cars) and biological (e.g., animals, plants) ones, is not only enabled by their computational intelligence (CI) in their brain, but also by their physical intelligence (PI) encoded in their body. Therefore, it is essential to advance the PI of human-made agents as much as possible, in addition to their CI, to operate them in unstructured and complex real-world environments like the biological agents. This article gives a perspective on what PI paradigm is, when PI can be more significant and dominant in physical and biological agents at different length scales and how bioinspired and abstract PI methods can be created in agent bodies. PI paradigm aims to synergize and merge many research fields, such as mechanics, materials science, robotics, mechanical design, fluidics, active matter, biology, self-assembly and collective systems, to enable advanced PI capabilities in human-made agent bodies, comparable to the ones observed in biological organisms. Such capabilities would progress the future robots and other machines beyond what can be realized using the current frameworks.
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Publication status
published
External links
Editor
Book title
Journal / series
Volume
46
Pages / Article No.
101340
Publisher
Elsevier
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Physical Intelligence; Mechanics; Meta materials; Mechanical memory; Mechanical computation
Organisational unit
09726 - Sitti, Metin (ehemalig) / Sitti, Metin (former)