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A. Tirella, De Maria, C., Vozzi, G., and Ahluwalia, A., Da scaffold a tessuti: progettazione, realizzazione e caratterizzazione di architetture 3D per la medicina rigenerativa , in Approccio Integrato per la medicina rigenerativa - book of XXXII School of Bioengineering, 2013.
A. Tognetti, Lorussi, F., Carbonaro, N., De Rossi, D., De Toma, G., Mancuso, C., Paradiso, R., Luinge, H., Reenalda, J., Droog, E., and Veltink, P., Daily-Life Monitoring of Stroke Survivors Motor Performance: The INTERACTION Sensing System, 2014.
P. H. Veltink, van Meulen, F. B., van Beijnum, B. J. F., Klaassen, B., Hermens, H. J., Droog, E., Weusthof, M. H. H., Lorussi, F., Tognetti, A., Reenalda, J., Nikamp, C. D. M., Baten, C. T. M., Buurke, J. H., Held, J., Luft, A. R. L., Luinge, H., De Toma, G., Mancuso, C., and Paradiso, R., Daily-life tele-monitoring of motor performance in stroke survivors, in Proceedings of XIII International Symposium on 3D Analysis of Human Movement, 2014, pp. 159–162.
L. Cominelli, Mazzei, D., Pieroni, M., Zaraki, A., Garofalo, R., and De Rossi, D., Damasio's Somatic Marker for Social Robotics: Preliminary Implementation and Test, in Living Machines - The 4th International Conference on Biomimetic and Biohybrid Systems, Barcelona, Spain, 28 - 31 July 2015, 2015, pp. 316-328 [Online]. Available: http://link.springer.com/chapter/10.1007/978-3-319-22979-9_31#page-1
H. Marino, Gabiccini, M., Leonardi, L., and Bicchi, A., Data-driven human grasp movement analysis, in 47th International Symposium on Robotics, ISR 2016, 2016. PDF icon hamal.pdf (899.24 KB)
M. Gabiccini, Stillfried, G., Marino, H., and Bianchi, M., A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, 2013, pp. 3738 - 3745. PDF icon [PDF] (2.42 MB)
U. Debarnot, Castellani, E., Valenza, G., Sebastiani, L., and Guillot, A., Daytime naps improve motor imagery learning, Cognitive, Affective, & Behavioral Neuroscience, pp. 1–10, 2011.
A. Balestrino, Caiti, A., Calabrò, V., and Crisostomi, E., DCL: a real time portable distributed control telelaboratory, in IEEE Mediterranean Conference on Automation and Control, 2010, p. –.
G. Mattei, Magliaro, C., Pirone, A., and Ahluwalia, A., Decellularized Human Liver Is Too Heterogeneous for Designing a Generic Extracellular Matrix Mimic Hepatic Scaffold., Artificial Organs, 2017 [Online]. Available: https://www.ncbi.nlm.nih.gov/pubmed/28543403
A. Bicchi, Marigo, A., Pappas, G., Pardini, M., Parlangeli, G., Tomlin, C., and Sastry, S., Decentralized Air Traffic Management Systems: Performance and Fault Tolerance, in Proc. IFAC Workshop on Motion Control, 1998.
L. Pallottino, Scordio, V. G., Frazzoli, E., and Bicchi, A., Decentralized and scalable conflict resolution strategy for multi-agents systems, in Int. Symp. on Mathematical Theory of Networks and Systems, 2006. PDF icon [PDF] (283.6 KB)
L. Pallottino, Scordio, V. G., and Bicchi, A., Decentralized Cooperative Conflict Resolution Among Multiple Autonomous Mobile Agents, in cdc, 2004, pp. 4758-4763. PDF icon [PDF] (601.36 KB)
L. Pallottino, Scordio, V. G., Frazzoli, E., and Bicchi, A., Decentralized Cooperative Conflict Resolution for Multiple Nonholonomic Vehicles, in Proc. AIAA COnf. on Guidance, Navigation and Control, 2005. PDF icon [PDF] (2.21 MB)
L. Pallottino, Scordio, V. G., Frazzoli, E., and Bicchi, A., Decentralized cooperative policy for conflict resolution in multi-vehicle systems, IEEE Trans. on Robotics, vol. 23, pp. 1170-1183, 2007. PDF icon [PDF] (913.03 KB)
S. Manca, Fagiolini, A., and Pallottino, L., Decentralized Coordination System for Multiple AGVs in a Structured Environment, in 2011 Congress of the International Federation of Automatic Control, Milano, italy, 2011, pp. 6005 - 6010. PDF icon [PDF] (539.4 KB)
A. Fagiolini, Tani, L., Bicchi, A., and Dini, G., Decentralized Deployment of Mobile Sensors for Optimal Connected Sensing Coverage, in Distributed Computing in Sensor Systems, 2008, vol. 5067/2008, pp. 486 - 491 [Online]. Available: http://dx.doi.org/10.1007/978-3-540-69170-9_34PDF icon [PDF] (342.45 KB)
A. Fagiolini, Valenti, G., Pallottino, L., Dini, G., and Bicchi, A., Decentralized Intrusion Detection for Secure Cooperative Multi-Agent Systems, in Proc. IEEE Int. Conf. on Decision and Control, 2007, pp. 1553-1558. PDF icon [PDF] (321.45 KB)
A. Fagiolini, Pallottino, L., and Dini, G., Decentralized Intrusion Detection in Cooperative Multi-Agent Systems. 2007. PDF icon [PDF] (279.44 KB)
S. Martini, Fagiolini, A., Zichittella, G., Egerstedt, M., and Bicchi, A., Decentralized Species Classification in Societies of Autonomous and Heterogenous Robots, in 2011 IEEE International Conference on Robotics and Automation, Shangai, China, 2011, pp. 32 - 39. PDF icon [PDF] (1.1 MB)
F. Angelini, C. Della Santina,, Garabini, M., Bianchi, M., Gasparri, G. M., Grioli, G., Catalano, M. G., and Bicchi, A., Decentralized Trajectory Tracking Control for Soft Robots Interacting with the Environment, IEEE Transactions on Robotics (T-RO)., vol. Early Access, 2018. PDF icon [PDF] (1.37 MB)
A. Balluchi and Bicchi, A., Decentralized Variable Structure Tracking for Systems with Time-Domain Dominance, International Journal of Applied Mathematics and Computer Science, vol. 9, pp. 265-291, 1999. PDF icon [PDF] (533.57 KB)
A. Gaggioli, Cipresso, P., Serino, S., Pioggia, G., Tartarisco, G., Baldus, G., Corda, D., Ferro, M., Carbonaro, N., Tognetti, A., De Rossi, D., Giakoumis, D., Tzovaras, D., Riera, A., and Riva, G., A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure, pp. 114–120, 2014.
T. Gulrez, Kavakli-Thorne, M., and Tognetti, A., Decoding 2D kinematics of human arm for body machine interfaces, in Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013, 2014, pp. 719–722 [Online]. Available: http://dx.medra.org/10.1109/ICIEA.2013.6566461
F. Celi, Wang, L., Pallottino, L., and Egerstedt, M., Deconfliction of Motion Paths With Traffic Inspired Rules, IEEE Robotics and Automation Letters, vol. 4, pp. 2227-2234, 2019. PDF icon ral-celi-pallottino.pdf (970.85 KB)
A. Greco, Lanata, A., Valenza, G., Rota, G., Vanello, N., and Scilingo, E. P., On the deconvolution analysis of electrodermal activity in bipolar patients, in Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, 2012, pp. 6691–6694.
A. Serio, Grioli, G., Sardellitti, I., Tsagarakis, N. G., and Bicchi, A., A decoupled Impedance observer for a Variable Stiffness Robot, in 2011 IEEE International Conference on Robotics and Automation, Shangai, China, 2011, pp. 5548 - 5553. PDF icon [PDF] (485.18 KB)
D. Prattichizzo, Mercorelli, P., Bicchi, A., and Vicino, A., On the Decoupling and Output Functional Controllability of Robotic Manipulation, in Proc. IFAC Int. Symp. on Robot Control, 1997.
G. Mattei, Ferretti, C., Tirella, A., Ahluwalia, A., and Mattioli-Belmonte, M., Decoupling the role of stiffness from other hydroxyapatite signalling cues in periosteal derived stem cell differentiation, Scientific Reports, vol. 5, p. 10778, 2015 [Online]. Available: http://www.nature.com/doifinder/10.1038/srep10778

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