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Bioinspired Soft Robotics: state of the art, challenges, and future directions
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Bioinspired Soft Robotics: state of the art, challenges, and future directions

Maxwell Hammond, Venanzio Cichella and Caterina Lamuta
arXiv.org
Cornell University
12/19/2023
DOI: 10.48550/arxiv.2312.12312
url
https://doi.org/10.1007/s43154-023-00102-2View
Published (Version of record)This article has now been published in a journal and has been peer-reviewed by subject experts. This version may differ significantly from the preprint version. Restricted
url
https://doi.org/10.48550/arxiv.2312.12312View
Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

Current Robotics Reports, 4(3), 65-80 (2023) Purpose of Review: This review provides an overview of the state of the art in bioinspired soft robotics with by examining advancements in actuation, functionality, modeling, and control. Recent Findings: Recent research into actuation methods, such as artificial muscles, have expanded the functionality and potential use of bioinspired soft robots. Additionally, the application of finite dimensional models has improved computational efficiency for modeling soft continuum systems, and garnered interest as a basis for controller formulation. Summary: Bioinspiration in the field of soft robotics has led to diverse approaches to problems in a range of task spaces. In particular, new capabilities in system simplification, miniaturization, and untethering have each contributed to the field's growth. There is still significant room for improvement in the streamlining of design and manufacturing for these systems, as well as in their control.
Computer Science - Robotics Computer Science - Systems and Control

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