A concise guide to modelling the physics of embodied intelligence in soft robotics.

Mengaldo, Gianmarco, Renda, Federico, Brunton, Steven , Bacher, Moritz, Calisti, Marcello, Duriez, Christian, Chirikjian, Gregory and Laschi, Cecilia (2022) A concise guide to modelling the physics of embodied intelligence in soft robotics. Nature Reviews Physics (4). pp. 595-610. ISSN 2522-5820

Full content URL: https://doi.org/10.1038/s42254-022-00481-z

Documents
A concise guide to modelling the physics of embodied intelligence in soft robotics.
Author's accepted manuscript
[img]
[Download]
[img]
Preview
PDF
NATREVPHYS_21_864_Mengaldo.pdf - Whole Document

7MB
Item Type:Article
Item Status:Live Archive

Abstract

Embodied intelligence (intelligence that requires and leverages a physical body) is a well-known paradigm in soft robotics, but its mathematical description and consequent computational modelling remain elusive, with a need for models that can be used for design and control purposes. We argue that filling this gap will enable full uptake of embodied intelligence in soft robots. We provide a concise guide to the main mathematical modelling approaches, and consequent computational modelling strategies, that can be used to describe soft robots and their physical interactions with the surrounding environment, including fluid and solid media. We aim to convey the challenges and opportunities within the context of modelling the physical interactions underpinning embodied intelligence. We emphasize that interdisciplinary work is required, especially in the context of fully coupled robot–environment interaction modelling. Promoting this dialogue across disciplines is a necessary step to further advance the field of soft robotics.

Keywords:embodied intelligence, soft robotics, Robotics, Mathematical Modelling
Subjects:H Engineering > H671 Robotics
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:52104
Deposited On:05 Dec 2022 08:28

Repository Staff Only: item control page