@article {FDSBB09, title = {Visual Servoing in the Large}, journal = {International Journal of Robotics Research}, volume = {28}, number = {6}, year = {2009}, month = {June}, pages = {802 - 814}, abstract = {

In this paper we consider the problem of maneuvering an autonomous robot in complex unknown environments using vision. The goal is to accurately servo a wheeled vehicle to a desired posture using only feedback from an on-board camera, taking into account the nonholonomic nature of the vehicle kinematics and the limited field-ofview of the camera. With respect to existing visual servoing schemes, which achieve similar goals locally (i.e. when the desired and actual camera views are sufficiently similar), we propose a method to visually navigate the robot through an extended visual map before eventually reaching the desired goal. The map comprises a set of images, previously stored in an exploratory phase, that convey both topological and metric information regarding the connectivity through feasible robot paths and the geometry of the environment, respectively. Experimental results on a laboratory setup are reported showing the practicality of the proposed approach.

}, keywords = {Embedded Control, Robotics}, author = {D. Fontanelli and A. Danesi and F. A. W. Belo and P Salaris and A. Bicchi} } @article {BDDLPPSS08, title = {Heterogeneous Wireless Multirobot System}, journal = {Robotics and Automation Magazine, IEEE}, volume = {15}, number = {1}, year = {2008}, pages = {62{\textendash}70}, keywords = {Robotics}, doi = {10.1109/M-RA.2007.914925}, url = {http://dx.doi.org/10.1109/M-RA.2007.914925}, author = {A. Bicchi and A. Danesi and G. Dini and La Porta, S. and L. Pallottino and I. M. Savino and R. Schiavi} } @conference {DFB, title = {Visual Servoing on Image Maps}, booktitle = {Experimental Robotics}, series = {Springer Tracts in Advanced Robotics (STAR)}, volume = {39}, year = {2008}, note = {

proceedings of the 2006 symposium of experimental robotics

}, pages = {277 - 286}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, keywords = {Robotics}, author = {A. Danesi and D. Fontanelli and A. Bicchi} } @conference {BDSP:ECC07, title = {A Component-Based Approach to Localization and Collision Avoidance for Mobile Multi-Agent Systems}, booktitle = {Proc. European Control Conference (ECC)}, year = {2007}, month = {July}, pages = {4285-4292}, abstract = {

In the RUNES project a disaster relief tunnel scenario is being developed in which mobile robots are used to restore the radio network connectivity in a stationary sensor network. A component-based software development approach has been adopted. Two components are described in this paper. A localization component that uses ultrasound and dead reckoning to decide the robot positions and a collision avoidance component that ensures that the robots do not collide with each other.

}, keywords = {Embedded Control, Robotics}, author = {P. Alriksson and J. Nordh and K -E Arz{\'e}n and A. Bicchi and A. Danesi and R. Schiavi and L. Pallottino} } @conference {DFPSSDB06, title = {A scalable platform for safe and secure decentralized traffic management of multiagent mobile systems}, booktitle = {ACM Workshop on Real-World Wireless Sensor Networks}, year = {2006}, abstract = {

In this paper we describe the application of wireless sensor networking techniques to address the realization of a safe and secure decentralized traffic management system. We consider systems of many heterogeneous autonomous vehicles moving in a shared environment. Each vehicle is assumed to have different and possibly unspecified tasks, but they cooperate to avoid collisions. We are interested in designing a scalable architecture capable of accommodating a very large and dynamically changing number of vehicles, guaranteeing their safety (i.e., collision avoidance), the achievement of their goals, and security against potential adversaries. By properly distributing and revoking cryptographic keys we are able to protect communications from an external adversary as well as to detect non-cooperative, possibly malicious vehicles and trigger suitable countermeasures. In our architecture, scalability is obtained by decentralization, i.e. each vehicle is regarded as an autonomous agent capable of processing information concerning its own state and the state of only a fixed, small number of {\textquoteleft}{\textquoteleft}neighboring{\textquoteright}{\textquoteright} agents. Ad-hoc wireless sensor networks are employed to provide support for this architecture.

}, keywords = {Embedded Control, Robotics}, author = {A. Danesi and A. Fagiolini and I. Savino and L. Pallottino and R. Schiavi and G. Dini and A. Bicchi} } @conference {DSSBG06, title = {Security and Advanced Control Issues in a Robotic Platform for Monitoring and Relief}, booktitle = {Proc. of EWSN 2006 February 13-15, ETH Zurich}, year = {2006}, abstract = {

This paper provides an architectural overview and a first implementation of an heterogeneous agent network composed by mobile robots of di

}, keywords = {Embedded Control, Robotics}, author = {A. Danesi and I. M. Savino and R. Schiavi and A. Bicchi and G. Dini} } @conference {DFMSB03, title = {Cooperative Simultaneous Localization and Map Building for Servoing}, booktitle = {Proceedings of Multiagent Robotic Systems Trends and Industrial Application - Robocup 2003 Conference}, year = {2003}, month = {July}, address = {Padova}, keywords = {Embedded Control, Robotics}, author = {A. Danesi and D. Fontanelli and P. Murrieri and V. G. Scordio and A. Bicchi} }