Abstract
During the penetration into the soil, plant roots experience mechanical impedance changes and come into contact with obstacles which they avoid and circumnavigate during their growth. In this work, we present an experimental analysis of a sensorized artificial tip able to detect obstacles and discriminate between different mechanical impedances in artificial and real soils. The conical shaped tip is equipped with a soft capacitive tactile sensor consisting of different elastomeric and conductive layers. Experimental results show that the sensor is robust yet sensitive enough to mechanical impedance changes in the experimented soils.
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References
Monshausen, G.B., Gilroy, S.: Feeling Green: Mechanosensing in Plants. Trends in Cell Biology 19(5), 228–235 (2009)
Sadeghi, A., Tonazzini, A., Popova, L., Mazzolai, B.: A Novel Growing Device Inspired by Plant Root Soil Penetration Behaviour. PLoS ONE 9(2), 1–10 (2014)
Tonazzini, A., Popova, L., Mattioli, F., Mazzolai, B.: Analysis and Characterization of a Robotic Probe Inspired by the Plant Root Apex. In: Proceeding of the 4th IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 1134–1139 (2012)
Viry, L., Levi, A., Totaro, M., Mondini, A., Mattoli, V., Mazzolai, B., Beccai, L.: Flexible Three-Axial Force Sensor for Soft and Highly Sensitive Artificial Touch. Advanced Materials 26(17), 2659–2664 (2014)
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Lucarotti, C., Totaro, M., Viry, L., Beccai, L., Mazzolai, B. (2014). Soil Mechanical Impedance Discrimination by a Soft Tactile Sensor for a Bioinspired Robotic Root. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2014. Lecture Notes in Computer Science(), vol 8608. Springer, Cham. https://doi.org/10.1007/978-3-319-09435-9_45
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DOI: https://doi.org/10.1007/978-3-319-09435-9_45
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09434-2
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