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Journal Article
A. Caiti, Calabrò, V., Dini, G., Lo Duca, A., and Munafò, A., Mobile underwater sensor networks for protection and security: field experience at the UAN11 experiment, JOURNAL OF FIELD ROBOTICS, vol. 30, pp. 237–253, 2013 [Online]. Available:
A. Bicchi, Melchiorri, C., and Balluchi, D., On the Mobility and Manipulability of General Multiple Limb Robotic Systems, IEEE Trans. Robotics and Automation, vol. 11, pp. 215-228, 1995. PDF icon [PDF] (1011.65 KB)
F. Lorussi, Galatolo, S., Bartalesi, R., and De Rossi, D., Modeling and Characterization of Extensible Wearable Textile-Based electrogoniometers, IEEE Sensors Journal, vol. 13, no. 1, pp. 217 - 228, 2013.
A. Bicchi, Gabiccini, M., and Santello, M., Modeling Natural and Artificial Hands with Synergies, Philosophical Transactions of the Royal Society B, vol. 366, pp. 3153 - 3161, 2011. PDF icon [PDF] (829.66 KB)
G. Ciofani, Migliore, A., Mazzei, D., Carrozza, M., and Dario, P., Modification of Pointing Performance in Altered Gravitational Environments, Microgravity Science and Technology, vol. 22, pp. 123-128, 2010.
M. Milanesi, Barison, A., Positano, V., Masci, P. G., De Marchi, D., Marinelli, L., Hardy, C. J., Foo, T. K., Landini, L., and Lombardi, M., Modified cine inversion recovery pulse sequence for the quantification of myocardial T1 and gadolinium partition coefficient, JOURNAL OF MAGNETIC RESONANCE IMAGING, vol. 37, no. 1, pp. 109-118, 2013.
G. Nardi, Cicconardi, S., Dario, P., and De Rossi, D., Modular hydropneumatic mock circulatory system for the evaluation of cardiovascular prostheses,, TRANSACTIONS - AMERICAN SOCIETY FOR ARTIFICIAL INTERNAL ORGANS, vol. 4, pp. 139–148, 1981.
R. Bravi, Del Tongo, C., Cohen, E. J., Dalle Mura, G., Tognetti, A., and Minciacchi, D., Modulation of isochronous movements in a flexible environment: links between motion and auditory experience, Experimental Brain Research, vol. 232, no. 6, pp. 1663 - 1675, 2014.
I. MORELLI, Chiono, V., Vozzi, G., Ciardelli, G., SILVESTRI, D., and Giusti, P., Molecularly imprinted nanospheres for applications in a novel model biosensor-scaffold,, SENSORS AND ACTUATORS. B, CHEMICAL, 2010.
G. Valenza, Gentili, C., Lanata, A., and Scilingo, E. P., Mood recognition in bipolar patients through the PSYCHE platform: Preliminary evaluations and perspectives, Artificial Intelligence In Medicine, vol. 57, no. 1, pp. 49–58, 2013.
D. Prattichizzo, Malvezzi, M., Gabiccini, M., and Bicchi, A., On Motion and Force Controllability of Precision Grasps with Hands Actuated by Soft Synergies, IEEE Transactions on Robotics, vol. 29, no. 6, pp. 1440 - 1456 , 2013. PDF icon [PDF] (1.59 MB)
U. Debarnot, Valenza, G., Champely, S., Scilingo, E. P., De Rossi, D., and Guillot, A., Motor imagery effectiveness for mirror reversed movements, Cognitive, Affective, & Behavioral Neuroscience, vol. 11, pp. 22–31, 2011.
L. Cominelli, Carbonaro, N., Mazzei, D., Garofalo, R., Tognetti, A., and De Rossi, D., A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics, FUTURE INTERNET, vol. 9, 2017.
M. Bianchi, Haschke, R., Büscher, G., Ciotti, S., Carbonaro, N., and Tognetti, A., A Multi-Modal Sensing Glove for Human Manual-Interaction Studies, Electronics, vol. 5, no. 3, 2016 [Online]. Available:
P. Alotto, Caiti, A., Molinari, G., and Repetto, M., A multiquadrics-based algorithm for the acceleration of simulated annealing optimization procedures, IEEE TRANSACTIONS ON MAGNETICS, vol. 32, pp. 1198–1201, 1996 [Online]. Available:
A. Pedotti, Assente, R., Fusi, G., De Rossi, D., Dario, P., and Domenici, C., Multisensor piezoelectric polymer insole for pedobarography, FERROELECTRICS, vol. 60, pp. 163–174, 1984.
A. Balestrino, Caiti, A., and Grammatico, S., Multivariable constrained process control via Lyapunov R-functions, JOURNAL OF PROCESS CONTROL, 2012 [Online]. Available:
G. Mathijssen, Schultz, J., Vanderborght, B., and Bicchi, A., A muscle-like recruitment actuator with modular redundant actuation units for soft robotics, Robotics and Autonomous Systems, vol. 74, no. part A, pp. 40-50, 2015 [Online]. Available:
R. Bravi, Quarta, E., Del Tongo, C., Carbonaro, N., Tognetti, A., and Minciacchi, D., Music, clicks, and their imaginations favor differently the event-based timing component for rhythmic movements, EXPERIMENTAL BRAIN RESEARCH, vol. 233, pp. 1945–1961, 2015 [Online]. Available:
G. Mattei, Gruca, G., Rijnveld, N., and Ahluwalia, A., The nano-epsilon dot method for strain rate viscoelastic characterisation of soft biomaterials by spherical nano-indentation, Journal of the Mechanical Behavior of Biomedical Materials, vol. 50, pp. 150–159, 2015 [Online]. Available:
A. Tirella, La Marca, M., Brace, L. A., Mattei, G., Aylott, J., and Ahluwalia, A., Nano-in-Micro Self-Reporting Hydrogel Constructs, Journal of Biomedical Nanotechnology, vol. 11, pp. 1451–1460, 2015 [Online]. Available:
A. Balluchi and Bicchi, A., Necessary and Sufficient Conditions for Robust Perfect Tracking under Variable Structure Control, International Journal of Robust and Nonlinear Control, vol. 13, no. 2, pp. 141-151, 2003. PDF icon [PDF] (215.43 KB)
A. Chaillet and Lor, A., Necessary and sufficient conditions for uniform semiglobal practical asymptotic stability: Application to cascaded systems, Automatica, vol. 42, pp. 1899-1906, 2006.
D. De Rossi, Need better sensor: try using polymers, RESEARCH & DEVELOPMENT, pp. 66–70, 1989.
G. Vozzi, Chiono, V., Vozzi, F., Salvadori, C., Dini, F., Carlucci, F., ARISPICI, M., Burchielli, S., Ciardelli, G., and Giusti, P., Nerve regeneration using novel biomaterial supports, Biomedicine and Pharmacotherapy , p. –, 2008.
G. Tartarisco, Carbonaro, N., Tonacci, A., Bernava, G. M., Arnao, A., Crifaci, G., Cipresso, P., Riva, G., Gaggioli, A., De Rossi, D., Tognetti, A., and Pioggia, G., Neuro-fuzzy physiological computing to assess stress levels in virtual reality therapy, INTERACTING WITH COMPUTERS, vol. 27, pp. 521–533, 2015 [Online]. Available:
G. Valenza, Pioggia, G., Armato, A., Ferro, M., Scilingo, E. P., and De Rossi, D., A neuron-astrocyte transistor-like model for neuromorphic dressed neurons, Neural Networks, 2011.
L. Billeci, Magliaro, C., Pioggia, G., and Ahluwalia, A., NEuronMOrphological analysis tool: open-source software for quantitative morphometrics, Front. Neuroinform., vol. 7, no. 2, 2013.
G. Orsi, Fagnano, M., De Maria, C., Montemurro, F., and Vozzi, G., A new 3D concentration gradient maker and its application in building hydrogels with a 3D stiffness gradient, Journal of Tissue Engineering and Regenerative Medicine, 2014.
D. C. Maria, Rincon, J., Duarte, A. A., Vozzi, G., and Boland, T., A new approach to fabricate agarose microstructures, Polymers Advanced Technologies, 2013.