Haptic Intelligence

A Year at the Forefront of Hydrostat Motion

2023

Article

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Currently, in the field of interdisciplinary work in biology, there has been a significant push by the soft robotic community to understand the motion and maneuverability of hydrostats. This review seeks to expand the muscular hydrostat hypothesis toward new structures, including plants, and introduce innovative techniques to the hydrostat community on new modeling, simulating, mimicking, and observing hydrostat motion methods. These methods range from ideas of kirigami, origami, and knitting for mimic creation to utilizing reinforcement learning for control of bio-inspired soft robotic systems. It is now being understood through modeling that different mechanisms can inhibit traditional hydrostat motion, such as skin, nostrils, or sheathed layered muscle walls. The impact of this review will highlight these mechanisms, including asymmetries, and discuss the critical next steps toward understanding their motion and how species with hydrostat structures control such complex motions, highlighting work from January 2022 to December 2022.

Author(s): Andrew Schulz and Nikole Schneider and Margaret Zhang and Krishma Singal
Journal: Biology Open
Year: 2023

Department(s): Haptic Intelligence
Bibtex Type: Article (article)
Paper Type: Journal

DOI: 10.1242/bio.059834
Note: N. Schneider, M. Zhang, and K. Singal all contributed equally on this manuscript.
State: Published

BibTex

@article{Schulz23-BiologyOpen-YATF,
  title = {A Year at the Forefront of Hydrostat Motion},
  author = {Schulz, Andrew and Schneider, Nikole and Zhang, Margaret and Singal, Krishma},
  journal = {Biology Open},
  year = {2023},
  note = {N. Schneider, M. Zhang, and K. Singal all contributed equally on this manuscript. },
  doi = {10.1242/bio.059834}
}