Research Trends and Future Perspectives in Marine Biomimicking Robotics

Autor: Sergio Stefanni, Kathrin Nowak, F. Vecchi, Helena I. Gomes, Valerio Funari, Corrado Costa, Peter Weiss, Marcello Calisti, Damianos Chatzievangelou, Lewis Dartnell, Simone Marini, Jacopo Aguzzi, Roberto Danovaro
Přispěvatelé: Ministerio de Ciencia, Innovación y Universidades (España), European Commission, University of Nottingham, Agencia Estatal de Investigación (España)
Rok vydání: 2021
Předmět:
0209 industrial biotechnology
Engineering
locomotor designs
media_common.quotation_subject
Soft robotics
Scopus
02 engineering and technology
TP1-1185
Review
marine biomimetics
Biochemistry
Energy provision
bibliographic statistics
energy provision
biomaterials
optimal energy consumption
Analytical Chemistry
ENG - Food
Water and Waste
Biomaterials
020901 industrial engineering & automation
Optimal energy consumption
Research environment
14. Life underwater
Electrical and Electronic Engineering
Instrumentation
media_common
business.industry
Chemical technology
Locomotor designs
Marine biomimetics
Robotics
Energy consumption
Mechatronics
021001 nanoscience & nanotechnology
Data science
Atomic and Molecular Physics
and Optics
Bibliographic statistics
H671 Robotics
Robot
Artificial intelligence
0210 nano-technology
business
Autonomy
Zdroj: Sensors (Basel, Switzerland)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Sensors
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Sensors, Vol 21, Iss 3778, p 3778 (2021)
Sensors (Basel) 21 (2021). doi:10.3390/s21113778
info:cnr-pdr/source/autori:Aguzzi, J; Costa, C; Calisti, M; Funari, V; Stefanni, S; Danovaro, R; Gomes, HI; Vecchi, F; Dartnell, LR; Weiss, P; Nowak, K; Chatzievangelou, D; Marini, S/titolo:Research Trends and Future Perspectives in Marine Biomimicking Robotics/doi:10.3390%2Fs21113778/rivista:Sensors (Basel)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:21
ISSN: 1424-8220
1333-7327
2017-8786
DOI: 10.3390/s21113778
Popis: 21 pages, 6 figures, 2 tables, 1 appendix, supplementary material https://figshare.com/s/4e2f76d5056beb7c0f97.-- Data Availability Statement: The EndNote file containing the database of the publication extracted is available online at https://doi.org/10.6084/m9.figshare.13337327 (Figshare repository, accessed on 28 May 2021)
Mechatronic 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
This research was developed within the framework of the Tecnoterra Associate Research UNIT (ICM-CSIC/UPC) and the following project activities: ARIM (Autonomous Robotic sea-floor Infrastructure for benthopelagic Monitoring; MartTERA ERA-Net Cofund), and RESBIO [TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades; PI: J.A.]. S.M. was funded by the projects: ENDURUNS [ERC Research Grant Agreement H2020-MG-2018-2019-2020 n.824348] and by JERICO-S3 [Horizon 2020; Grant Agreement no. 871153]. H.I.G. acknowledges the University of Nottingham for her funding through an Anne McLaren Fellowship. This work also acknowledges the ‘Severo Ochoa Centre of Excellence’ accreditation to ICM (CEX2019-000928-S)
Databáze: OpenAIRE
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