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Advancing environmental intelligence through novel approaches in soft bioinspired robotics and allied technologies: I-Seed project position paper for Environmental Intelligence in Europe

  • https://www.iseedproject.eu/) targets towards the development of a radically simplified and environmentally friendly approach for environmental monitoring. Specifically, I-Seed aims at developing a new generation of self-deployable and biodegradable soft miniaturized robots, inspired by the morphology and dispersion abilities of plant seeds, able to perform low-cost, environmentally responsible, in-situ measurements. The natural functional mechanisms of seeds dispersal offer a rich source of robust, highly adaptive, mass and energy efficient mechanisms, and behavioral and morphological intelligence, which can be selected and implemented for advanced, but simple, technological inventions. I-Seed robots are conceived as unique in their movement abilities because inspired by passive mechanisms and materials of natural seeds, and unique in their environmentally friendly design because made of all biodegradable components. Sensing is based on a chemical transduction mechanism in a stimulus-responsive sensor material with fluorescence-based optical readout, which can be read via one or more drones equipped with fluorescent LiDAR technology and a software able to perform a real time georeferencing of data. The I-Seed robotic ecosystem is envisioned to be used for collecting environmental data in-situ with high spatial and temporal resolution across large remote areas where no monitoring data are available, and thus for extending current environmental sensor frameworks and data analysis systems.

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Document Type:Conference Proceeding
conferenceobject_Type:Beitrag in Tagungsband
Conference Place:Limassol <CYP>
Conference Date:September 07-09, 2022
Author:Barbara MazzolaiORCiD, Tobias KrausORCiD, Nicola PirroneORCiD, Lammert KooistraORCiD, Antonio De Simone, Antoine Cottin, Laura Margheri
Parent Title (English):GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good
First Page:265
Last Page:268
Publisher:ACM Digital Library
Year of first Publication:2022
Release Date:2022/09/29
Tag:bioinspired robotics; chemical transduction sensing; multi-functional materials; plant biology; unmanned aerial vehicles (UAVs)
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Open Access:Open Access
Signature:INM 2022/099
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International