Research Trends and Future Perspectives in Marine Biomimicking Robotics

Aguzzi, J., Costa, C., Calisti, Marcello, Funari, Valerio, Stefanni, S., Danovaro, Roberto, Gomes, Helena I., Vecchi, Fabrizio, Dartnell, Lewis R., Weiss, Peter, Nowak, Kathrin, Chatzievangelou, D. and Marini, S. 2021. Research Trends and Future Perspectives in Marine Biomimicking Robotics. Sensors. 21 (11), p. e3778. https://doi.org/10.3390/s21113778

TitleResearch Trends and Future Perspectives in Marine Biomimicking Robotics
TypeJournal article
AuthorsAguzzi, J., Costa, C., Calisti, Marcello, Funari, Valerio, Stefanni, S., Danovaro, Roberto, Gomes, Helena I., Vecchi, Fabrizio, Dartnell, Lewis R., Weiss, Peter, Nowak, Kathrin, Chatzievangelou, D. and Marini, S.
AbstractMechatronic and soft robotics are taking inspiration from the animal kingdom to create new high-performance robots. Here, we focused on marine biomimetic research and used innovative bibliographic statistics tools, to highlight established and emerging knowledge domains. A total of 6980 scientific publications retrieved from the Scopus database (1950–2020), evidencing a sharp research increase in 2003–2004. Clustering analysis of countries collaborations showed two major Asian-North America and European clusters. Three significant areas appeared: (i) energy provision, whose advancement mainly relies on microbial fuel cells, (ii) biomaterials for not yet fully operational soft-robotic solutions; and finally (iii), design and control, chiefly oriented to locomotor designs. In this scenario, marine biomimicking robotics still lacks solutions for the long-lasting energy provision, which presently hinders operation autonomy. In the research environment, identifying natural processes by which living organisms obtain energy is thus urgent to sustain energy-demanding tasks while, at the same time, the natural designs must increasingly inform to optimize energy consumption.
Keywordsmarine biomimetics
bibliographic statistics
energy provision
biomaterials
locomotor designs
optimal energy consumption
JournalSensors
Journal citation21 (11), p. e3778
ISSN1424-8220
Year2021
PublisherMDPI
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.3390/s21113778
Publication dates
Published online29 May 2021
LicenseCC BY 4.0

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