@article {,
	title = {The KIMORE dataset: KInematic assessment of MOvement and clinical scores for remote monitoring of physical REhabilitation},
	journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
	volume = {27},
	year = {2019},
	pages = {1436{\textendash}1448},
	author = {Capecci, Marianna and Ceravolo, Maria Gabriella and Ferracuti, Francesco and Iarlori, Sabrina and Monteri{\`u}, Andrea and Romeo, Luca and Verdini, Federica}
}
@conference {innocenti2016development,
	title = {Development of an automatic procedure to mechanically characterize soft tissue materials},
	booktitle = {Mechatronic and Embedded Systems and Applications (MESA), 2016 12th IEEE/ASME International Conference on},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Innocenti, Bernardo and Lambert, Pierre and Larrieu, Jean-Charles and Pianigiani, Silvia and Marina Paolanti and Michele Bernardini and Annalisa Cenci and Emanuele Frontoni}
}
@article {cocchioni2016visual,
	title = {Visual Based Landing for an Unmanned Quadrotor},
	journal = {Journal of Intelligent \& Robotic Systems},
	volume = {84},
	number = {1-4},
	year = {2016},
	pages = {511{\textendash}528},
	publisher = {Springer Netherlands},
	author = {Francesco Cocchioni and Emanuele Frontoni and Ippoliti, Gianluca and Sauro Longhi and Adriano Mancini and Primo Zingaretti}
}
@article {Cocchioni2015,
	title = {Visual Based Landing for an Unmanned Quadrotor},
	journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},
	year = {2015},
	note = {cited By 0; Article in Press},
	doi = {10.1007/s10846-015-0271-6},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84941686223\&partnerID=40\&md5=9ccfc812909e8a74b64d123902639160},
	author = {Francesco Cocchioni and Emanuele Frontoni and Ippoliti, G. and Sauro Longhi and Adriano Mancini and Primo Zingaretti}
}
@conference {Cocchioni2014374,
	title = {Unmanned ground and aerial vehicles in extended range indoor and outdoor missions},
	booktitle = {2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings},
	year = {2014},
	note = {cited By 1},
	pages = {374-382},
	abstract = {The capability to instantiate a cooperation among heterogeneous agents is a fundamental feature in mobile robotics. In this paper we focus on the interaction between Unmanned Ground Vehicle (UGV) and Unmanned Aerial Vehicle (UAV) to extend the endurance of UAV, thanks to a novel landing/recharging platform. The UGV acts as a docking station and hosts the UAV during the indoor/outdoor transition and vice-versa. We designed a platform and a robust landing target to automate the fast recharge of UAV. The synchronization and coordination of cooperation is managed by a Ground Control Station (GCS) developed using a versatile software toolchain based on the integration of Stateflow, auto-generation of C-code and ROS. All the software components of UAV, UGV and GCS have been developed using ROS. The obtained results show that the UAV is able to land over the UGV with high accuracy (<5cm for both x and y axis) thanks to a visual position estimation algorithm, also in presence of wind (with gust up to 20-25km/h), recharging its batteries in a short time to extend its endurance. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICUAS.2014.6842276},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84904582437\&partnerID=40\&md5=f57cb12575d6f9ff24ff152e95b48c80},
	author = {Francesco Cocchioni and Pierfelice, V. and Benini, A. and Adriano Mancini and Emanuele Frontoni and Primo Zingaretti and Ippoliti, G. and Sauro Longhi}
}
@conference {Raspa2010,
	title = {Selection of Lithium cells for EV battery pack using self organizing maps},
	booktitle = {EVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition},
	year = {2010},
	note = {cited By 0},
	abstract = {A challenging problem in energy storage systems for electric vehicles is the efficiency use of lithium multicell batteries. Because of production tolerances, unbalanced cells can be overstressed during usage leading to the reduction of the available capacity and premature failure of the battery pack. In order to reduce this problem the Universit{\`a} Politecnica delle Marche and FAAM Group S.p.A. developed a method for the selection and classification of homogenous cells to form uniform battery pack using Self Organizing Maps neural networks. Experimental data are collected from a set of LiFePo4 cells tested in FAAM laboratories. The selection considers both experimental data and identified characteristics: Discharge Voltage, Open Circuit Voltage, Total Capacity and identified parameters from Randle{\textquoteright}s equivalent circuit modelling. The State of Charge variability within each selected group of cells has been chosen as the clustering criterion to find the method which gives the best results in terms of homogeneity of the battery. Simulation results consider an experimental EV load profile and show a great reduction of the SOC variability and, consequently, in the balance of the battery pack for all the methods presented compared to random selection. Capacity and discharge voltage based methods give the best results over all.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84907415017\&partnerID=40\&md5=42dc9ff2c6cfe464e796818859e805ce},
	author = {Raspa, P. and Frinconi, L. and Adriano Mancini and Cavalletti, M. and Sauro Longhi and L. Fulimeni and P. Bellesi and Isidori, R.}
}
@article {Mancini2009307,
	title = {A framework for simulation and testing of UAVs in cooperative scenarios},
	journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},
	volume = {54},
	number = {1-3 SPEC. ISS.},
	year = {2009},
	note = {cited By 18},
	pages = {307-329},
	abstract = {Today, Unmanned Aerial Vehicles (UAVs) have deeply modified the concepts of surveillance, Search\&Rescue, aerial photogrammetry, mapping, etc. The kinds of missions grow continuously; missions are in most cases performed by a fleet of cooperating autonomous and heterogeneous vehicles. These systems are really complex and it becomes fundamental to simulate any mission stage to exploit benefits of simulations like repeatability, modularity and low cost. In this paper a framework for simulation and testing of UAVs in cooperative scenarios is presented. The framework, based on modularity and stratification in different specialized layers, allows an easy switching from simulated to real environments, thus reducing testing and debugging times, especially in a training context. Results obtained using the proposed framework on some test cases are also reported. {\textcopyright} 2008 Springer Science+Business Media B.V.},
	doi = {10.1007/s10846-008-9268-8},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56649092912\&partnerID=40\&md5=dc161c1b0a0533432e58fcdf588aec40},
	author = {Adriano Mancini and Cesetti, A. and Iual{\`e}, A. and Emanuele Frontoni and Primo Zingaretti and Sauro Longhi}
}
@conference {Iacopino2008364,
	title = {Artificial neural networks based symbolic gesture interface},
	booktitle = {SIGMAP 2008 - Proceedings of the International Conference on Signal Processing and Multimedia Applications},
	year = {2008},
	note = {cited By 0},
	pages = {364-369},
	abstract = {The purpose of the developed system is the realization of a gesture recognizer, applied to a user interface. We tried to get fast and easy software for user, without leaving out reliability and using instruments available to common user: a PC and a webcam. The gesture detection is based on well-known artificial vision techniques, as the tracking algorithm by Lucas and Kanade. The paths, opportunely selected, are recognized by a double layered architecture of multilayer perceptrons. The realized system is efficiency and has a good robustness, paying attention to an adequate learning of gesture vocabulary both for the user and for system.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-55849128216\&partnerID=40\&md5=ddfd2afde9d99702ec8cad5b4c8a5656},
	author = {Iacopino, C. and A. Montesanto and Paola Baldassarri and Dragoni, A.F. and Paolo Puliti}
}
