Shape Changing Robots: Bioinspiration, Simulation, and Physical Realization

One of the key differentiators between biological and artificial systems is the dynamic plasticity of living tissues, enabling adaptation to different environmental conditions, tasks, or damage by reconfiguring physical structure and behavioral control policies. Lack of dynamic plasticity is a signi...

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Veröffentlicht in:Advanced materials (Weinheim) 2021-05, Vol.33 (19), p.e2002882-n/a
Hauptverfasser: Shah, Dylan, Yang, Bilige, Kriegman, Sam, Levin, Michael, Bongard, Josh, Kramer‐Bottiglio, Rebecca
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Sprache:eng
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Zusammenfassung:One of the key differentiators between biological and artificial systems is the dynamic plasticity of living tissues, enabling adaptation to different environmental conditions, tasks, or damage by reconfiguring physical structure and behavioral control policies. Lack of dynamic plasticity is a significant limitation for artificial systems that must robustly operate in the natural world. Recently, researchers have begun to leverage insights from regenerating and metamorphosing organisms, designing robots capable of editing their own structure to more efficiently perform tasks under changing demands and creating new algorithms to control these changing anatomies. Here, an overview of the literature related to robots that change shape to enhance and expand their functionality is presented. Related grand challenges, including shape sensing, finding, and changing, which rely on innovations in multifunctional materials, distributed actuation and sensing, and somatic control to enable next‐generation shape changing robots are also discussed. Biological tissues exhibit incredible dynamic plasticity, enabling organisms to grow and thrive in challenging environments. Inspired by such feats, engineers have begun to design robots capable of actively editing their own structure and behaviors. An overview of the literature on shape changing robots is provided, and how multifunctional materials will help solve grand challenges to enable next‐generation robots is elucidated.
ISSN:0935-9648
1521-4095
1521-4095
DOI:10.1002/adma.202002882