@article {2473, title = {Distributed motion misbehavior detection in teams of heterogeneous aerial robots}, journal = {Robotics and Autonomous Systems information}, volume = {74 part A}, year = {2015}, month = {12/2015}, pages = {30-39}, abstract = {

This paper addresses the problem of detecting possible misbehavior in a group of autonomous mobile robots, which coexist in a shared environment and interact with each other and coordinate according to a set of common\ interaction rules. Such rules specify what actions each robot is allowed to perform in order to interact with the other members of the group. The rules are distributed, i.e., they can be evaluated only starting from the knowledge of the individual robot and the information the robot gathers from neighboring robots. We consider\ misbehaving\ those robots which, because of either spontaneous failures or malicious tampering, do not follow the rules and whose behavior thus deviates from the nominal assigned one. The main contribution of the paper is to provide a methodology to detect such misbehavior by observing the congruence of actual behavior with the assigned rules as applied to the actual state of the system. The presented methodology is based on a consensus protocol on the events observed by robots. The methodology is fully distributed in the sense that it can be performed by individual robots based only on the local available information, it has been theoretically proven and validated with experiments involving real aerial heterogeneous robots.

}, keywords = {Embedded Control, Robotics}, doi = {10.1016/j.robot.2015.06.008}, url = {http://www.sciencedirect.com/science/article/pii/S0921889015001360}, author = {S. Martini and D. Di Baccio and F. Alarc{\`o}n-Romero and A. Viguria-Jim{\'e}nez and L. Pallottino and G. Dini and A. Ollero} } @conference {FTBD08, title = {Decentralized Deployment of Mobile Sensors for Optimal Connected Sensing Coverage}, booktitle = {Distributed Computing in Sensor Systems}, series = {Lecture Notes in Computer Science}, volume = {5067/2008}, year = {2008}, pages = {486 - 491}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {

In this paper, we address the optimal connected sensing coverage problem, i.e., how mobile sensors with limited sensing capabilities can cooperatively adjust their locations so as to maximize the extension of the covered area while avoiding any internal "holes", areas that are not covered by any sensor. Our solution consists in a distributed motion algorithm that is based on an original extension of the Voronoi tessellation.

}, keywords = {Embedded Control, Robotics}, url = {http://dx.doi.org/10.1007/978-3-540-69170-9_34}, author = {A. Fagiolini and L. Tani and A. Bicchi and G. Dini} } @conference {FVPDB:CDC07, title = {Decentralized Intrusion Detection for Secure Cooperative Multi-Agent Systems}, booktitle = {Proc. IEEE Int. Conf. on Decision and Control}, year = {2007}, pages = {1553-1558}, abstract = {

In this paper we address the problem of detecting faulty behaviors of cooperative mobile agents. A novel decentralized and scalable architecture that can be adopted to realize a monitor of the agents

}, keywords = {Embedded Control, Robotics}, author = {A. Fagiolini and G. Valenti and L. Pallottino and G. Dini and A. Bicchi} } @booklet {FPD{\textquoteright}07, title = {Decentralized Intrusion Detection in Cooperative Multi-Agent Systems}, year = {2007}, note = {

Poster Presentation

}, month = {April}, abstract = {

We address the problem of detecting faulty behaviors of robots belonging to a multi-agent system. Our objective is to develop a scalable architecture that can be adopted to realize a completely decentralized intrusion detector monitoring the agents{\textquoteright} behavior. We want the solution to be independent from the set of {\textquoteleft}{\textquoteleft}rules{\textquoteright}{\textquoteright} describing the interaction among the agents, and from their dynamics; (non-invasive) mainly based on HW/SW components that are already present on-board of each agent. We focus on systems with decentralized cooperation schemes where cooperation is obtained by sharing a set of {\textquoteleft}{\textquoteleft}rules{\textquoteright}{\textquoteright} by which each agent plans its next {\textquoteleft}{\textquoteleft}action{\textquoteright}{\textquoteright} and where some of the agents may act not according to the rules due to spontaneous failure, tampering, or malicious introduction.

}, keywords = {Embedded Control, Robotics}, author = {A. Fagiolini and L. Pallottino and G. Dini} }