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Giustarini, L., Lamprecht, S., Retzlaff, R., Udelhoven, T., Bono Rossello, N., Garone, E., Cristofori, V., Contarini, M., Paolocci, M., Silvestri, C., Speranza, S., Graziani, E., Stelliferi, R., Fabrizio Carpio, R., Maiolini, J., Torlone, R., Ulivi, G., & Gasparri, A. (2020). PANTHEON: SCADA for Precision Agriculture. In T. Yu-Chu & D. C. Levy (Eds.), Handbook of Real-Time Computing (pp. 1-38). Singapore: Springer Singapore. doi:10.1007/978-981-4585-87-3_42-14.
Franzé, G., Casavola, A., Famularo, D., & Garone, E. (2009). An off-line MPC strategy for non-linear systems based on SOS programming. In L. Magni, D. Raimondo, & F. Allgöwer (Eds.), Nonlinear Model Prefictive Control Towards New Challenging Applications (pp. 491-500). Springer.(Lecture Notes in Control and Information Sciences).5.
Garone, E., Sinopoli, B., & Casavola, A. (2009). On the effect of packet acknowledgment on the stability and performance of networked control systems. In A. Chiuso, L. Fortuna, M. Frasca, A. Rizzo, L. Schenato, & S. Zampieri (Eds.), Modelling, Estimation and Control of Networked Complex System (pp. 181-205). Springer.(Understanding Complex Systems). Articles dans des revues avec comité de lecture (82)
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Rossini, L., Contarini, M., Speranza, S., Mermer, S., Walton, V., Francis, F., & Garone, E. (2024). Life tables in entomology: A discussion on tables’ parameters and the importance of raw data. PloS one, 19(3 March), e0299598. doi:10.1371/journal.pone.02995982.
Oguz, S., Heinrich, M. K., Allwright, M., Zhu, W., Wahby, M., Garone, E., & Dorigo, M. (2024). An Open-Source UAV Platform for Swarm Robotics Research: Using Cooperative Sensor Fusion for Inter-Robot Tracking. IEEE access, 12, 43378-43395. doi:10.1109/ACCESS.2024.33786076.
Lippi, M., Santilli, M., Fabrizio Carpio, R., Maiolini, J., Garone, E., Cristofori, V., & Gasparri, A. (2023). An autonomous spraying robot architecture for sucker management in large‐scale hazelnut orchards. Journal of Field Robotics.7.
Zhang, Y., Oguz, S., Wang, S., Garone, E., Wang, X., Dorigo, M., & Heinrich, M. K. (2023). Self-reconfigurable hierarchical frameworks for formation control of robot swarms. IEEE transactions on cybernetics. doi:10.1109/TCYB.2023.3237731