@conference {Benini2011406,
	title = {A simulation framework for coalition formation of Unmanned Aerial Vehicles},
	booktitle = {2011 19th Mediterranean Conference on Control and Automation, MED 2011},
	year = {2011},
	note = {cited By 3},
	pages = {406-411},
	abstract = {Unmanned Aerial Vehicles (UAVs) and in particular quad-rotors are gaining an increasing interest owing to their flexibility and versatility. Today the challenge is to integrate these versatile platforms in a wide fleet in order to perform cooperative tasks as surveillance, search \& rescue, inspection. The coalition formation problem is a pre-condition for cooperative missions. This problem can be solved with different methodologies from biologically-inspired algorithms to parasocial consensus sampling ones. In this paper a new framework for simulation of unmanned vehicles in cooperative scenarios is first presented. Then a novel method that exploits the benefits of Model Predictive Control (MPC) for a coalition formation problem (leader-follower) is introduced. The obtained results evidence the good performance of MPC to solve the problem of coalition formation for unmanned aerial vehicles finding the optimal solution taking into account different kind of constraints. The developed framework allows also to easily change from simulated agent to real one. {\textcopyright} 2011 IEEE.},
	doi = {10.1109/MED.2011.5983163},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80052355021\&partnerID=40\&md5=51acc4875190b250928b66e5b54b01a0},
	author = {Benini, A. and Adriano Mancini and Emanuele Frontoni and Primo Zingaretti 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.}
}
@conference {Cesetti2009,
	title = {A single-camera feature-based vision system for helicopter autonomous landing},
	booktitle = {2009 International Conference on Advanced Robotics, ICAR 2009},
	year = {2009},
	note = {cited By 4},
	abstract = {In this paper a feature based single camera vision system for the safe landing of an Unmanned Aerial Vehicle (UAV) is proposed. The autonomous helicopter used for tests is required to navigate from an initial to a final position in a partially known environment, to locate a landing area and to land on it. The algorithm proposed for the detection of safe landing areas is based on the analysis of optical flow and of mutual geometric position of different kinds of features, observed from different points of view. Vision allows estimating the position and velocity of a set of features with respect to the helicopter while the onboard, hierarchical, behavior-based control system autonomously guides the helicopter. Results, obtained using real data and a real helicopter in a outdoor scenario, show the appropriateness of the vision-based approach. It does not require any artificial landmark (e.g., helipad), is able to estimate correctly and autonomously safe landing areas and is quite robust to occlusions.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70449334565\&partnerID=40\&md5=3373a2496d17d58330e7a887f552c6ba},
	author = {Cesetti, A. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Sauro Longhi}
}
@conference {Kidiamboko2008866,
	title = {A scalable telemedicine architecture for under developed countries. A case study: Democratic Republic of Congo},
	booktitle = {2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED{\textquoteright}08},
	year = {2008},
	note = {cited By 0},
	pages = {866-871},
	abstract = {Telemedicine, defined as the use of telecommunications technologies to provide medical information and services, is electronic transfer of medical data being able to include the sound and the images to practice remote medicine. In under developed countries, as the Democratic Republic of Congo, the capability to remote monitor patients that live in villages or small rural town, is a "Big step ahead" for the health system and citizens. In this paper we present a Scalable Telemedicine Architecture designated to be used in a real scenario as the Dem.Rep. of Congo. A prototype of low cost sensor, integrable into architecture, as a pulse oximeter called Ebloops (Experimental Blood Pressure Smart Sensor), is also presented. Pulse oximetry allows doctors to monitor vital parameters as oxygen levels in a human body, heart frequency and other ones. {\textcopyright} 2008 IEEE.},
	doi = {10.1109/MED.2008.4602255},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-52949139070\&partnerID=40\&md5=855f2f2f7ebeaf934c0f0718b306fcf0},
	author = {Kidiamboko, S. and Adriano Mancini and Sauro Longhi and Spalazzi, L.}
}
@conference {Mancini2007,
	title = {Safe flying for an UAV helicopter},
	booktitle = {2007 Mediterranean Conference on Control and Automation, MED},
	year = {2007},
	note = {cited By 9},
	abstract = {Today small autonomous helicopters offer a low budget platform for aerial applications such as surveillance (both military and civil), land management and earth sciences. In this paper we introduce a prototype of autonomous aerial vehicle, the Helibot helicopter, specifically designed for applications in cooperative networks. Fundamental steps in the design process of an UAV are shown. We also present work in progress in the field of failure detection and a novel idea to the problem of failure recovery using a terrain vision system. {\textcopyright}2007 IEEE.},
	doi = {10.1109/MED.2007.4433946},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-50249099214\&partnerID=40\&md5=290b41c35e2f9a3766073505671d036a},
	author = {Adriano Mancini and Caponetti, F. and Monteri{\`u}, A. and Emanuele Frontoni and Primo Zingaretti and Sauro Longhi}
}
