具身认知
背景(考古学)
机器人
人工智能
软机器人
机器人学
计算机科学
托换
人机交互
认知机器人学
工程类
古生物学
土木工程
生物
作者
Gianmarco Mengaldo,Federico Renda,Steven L. Brunton,Moritz Bächer,Marcello Calisti,Christian Duriez,Gregory S. Chirikjian,Cecilia Laschi
标识
DOI:10.1038/s42254-022-00481-z
摘要
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. Modelling soft-robot deformations induced by actuators and interactions with the surrounding environment can enable full uptake of embodied intelligence. This Technical Review provides a concise guide to modelling approaches and computational strategies that can lead to model-informed design of embodied intelligent robots.
科研通智能强力驱动
Strongly Powered by AbleSci AI