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Methods in Bioinspired And Biohybrid Robotics

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Nicole Xu

Nicole Xu

U.S. Naval Research Laboratory

Dr. Nicole Xu is a bioengineer with an interdisciplinary background in the field of soft robotics, fluid mechanics, and organismal biology. Currently, her work as a National Research Council (NRC) Postdoctoral Research Associate at the U.S. Naval Research Laboratory focuses on using bioinspired shark skin surfaces to improve the performance of unpiloted underwater vehicles. During her PhD work at Stanford University, Dr. Xu developed a robotic system to control live jellyfish swimming and demonstrated the swimming speed enhancements in both laboratory and field work. She received her MS in Bioengineering from the California Institute of Technology and BSE. in Bioengineering from the University of Pennsylvania.

Collection Overview

Recent advancements in traditional robotics have enabled improvements in power consumption, actuation, and other challenges, many robots are still limited compared to biological organisms. Thus, bioinspired and biohybrid robots offer another approach to address the current limitations, by taking the best of both natural and engineered designs. Bioinspired robotics is a diverse subfield of robotics, in which biological systems serve as models to design and build machines. Approaches range in the degree of bioinspiration – from robots that replicate one desired aspect of an organism, to robots that replicate an entire animal body and mode of locomotion – and in the material design – from rigid and soft robots made of entirely engineered materials, to biohybrid robots that incorporate living tissues and organisms. Because the process of designing, building, and implementing these robots often requires visual, hands-on training, this collection serves as an amalgam of various bioinspired and biohybrid robotic techniques from experts in the field. The goal is to allow leading scientists to disseminate and trade details of their methodologies that are more challenging to present in traditional scientific media, and further expedite research in this growing subfield of robotics.

 

Articles

Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging
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Flapping Soft Fin Deformation Modeling using Planar Laser-Induced Fluorescence Imaging

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Cited by 1

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2022

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Abstracts

Manufacture and testing of energy-efficient tunable-stiffness method for bioinspired soft swimming robots.

Leo Micklem*1,

Blair Thornton2,

Gabriel Weymouth3

1Southampton Marine and Maritime Institute, University of Southampton, UK,

2Southampton Marine and Maritime Institute, University of Southampton, UK; Institute of Industrial Science, The University of Tokyo, Japan,

3Southampton Marine and Maritime Institute, University of Southampton, UK; Alan Turing Institute, London, UK