TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Mazzolai, Barbara
A1  - Kraus, Tobias
A1  - Pirrone, Nicola
A1  - Kooistra, Lammert
A1  - De Simone, Antonio
A1  - Cottin, Antoine
A1  - Margheri, Laura
T1  - Advancing environmental intelligence through novel approaches in soft bioinspired robotics and allied technologies: I-Seed project position paper for Environmental Intelligence in Europe
T2  - GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good
N2  - 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.
KW  - chemical transduction sensing
KW  - plant biology
KW  - multi-functional materials
KW  - bioinspired robotics
KW  - unmanned aerial vehicles (UAVs)
Y1  - 2022
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:291:415-1880
SN  - 978-1-4503-9284-6
SB  - 978-1-4503-9284-6
U6  - https://doi.org/10.1145/3524458.3547262
DO  - https://doi.org/10.1145/3524458.3547262
SP  - 265
EP  - 268
PB  - ACM Digital Library
ER  -