@conference {Frontoni2007,
	title = {Prototype UAV helicopter working in cooperative environments},
	booktitle = {IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM},
	year = {2007},
	note = {cited By 7},
	abstract = {Today small autonomous helicopters offer a low budget platform for aerial applications such as surveillance (both military and civilian), land management, and earth science. In this paper we introduce a prototype of autonomous aerial vehicle, the Helibot helicopter, specifically designed for applications in a cooperative network based on autonomous agents as UAV and UGV. We present our scalable and robust architecture, focusing in particular on hardware and real time solutions. A mechanical structure for safe testing is then presented. {\textcopyright}2007 IEEE.},
	doi = {10.1109/AIM.2007.4412564},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-48649092977\&partnerID=40\&md5=79d155f3eb244add87a4d8ba5d7616ed},
	author = {Emanuele Frontoni and Adriano Mancini and Caponetti, F. and Primo Zingaretti and Sauro Longhi}
}
@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}
}
@conference {Frontoni2006,
	title = {Fast mobile robot localization using low cost sensors},
	booktitle = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
	volume = {8},
	number = {PART 1},
	year = {2006},
	note = {cited By 2},
	abstract = {Bayesian filtering is a well known probabilistic filtering method. Its applications to mobile robot localization are very popular, but an active approach to the problem of localization was never presented. An interesting question is: what is the best action that the robot should choose to localize itself in the minimum number of steps? This paper presents the Fast Particle Filtering (FPF) algorithm to select the best action that allows a fast global localization using particle filtering. The appropriateness of our approach is demonstrated empirically using a mobile robot equipped with low cost sonar sensors in a structured office environment. Comparisons with classical Bayesian filtering approaches are also presented to demonstrate the better performances and the lower computational cost of the FPF algorithm. Copyright {\textcopyright} 2006 IFAC.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80051600774\&partnerID=40\&md5=b6c6e42ff4df40128cbe9bf76d128f44},
	author = {Emanuele Frontoni and Adriano Mancini and Caponetti, F. and Primo Zingaretti}
}
@conference {Frontoni2006,
	title = {A framework for simulations and tests of mobile robotics tasks},
	booktitle = {14th Mediterranean Conference on Control and Automation, MED{\textquoteright}06},
	year = {2006},
	note = {cited By 13},
	abstract = {This paper presents an education framework, developed in Matlab, for studying and experimenting typical mobile robotics tasks such as obstacle avoidance, localization, navigation and SLAM. The most important characteristic of this framework is the ability to easily switch from a simulator to a real robot to tune and test algorithms and to evaluate results in simulated and real environments. The framework is being used with interesting results in robotic courses at the Universit{\`a} Politecnica delle Marche in Ancona, Italy. In the second part of the paper a test case to evaluate an optimization of a Monte Carlo Localization process with sonar sensors is presented.},
	doi = {10.1109/MED.2006.328842},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-35949002522\&partnerID=40\&md5=c56db964d779bed90b4aff91801d06cf},
	author = {Emanuele Frontoni and Adriano Mancini and Caponetti, F. and Primo Zingaretti}
}
