@article {2530, title = {Epsilon-Optimal Synthesis for Unicycle-like Vehicles with Limited Field-Of-View Sensors}, journal = {IEEE Transactions on Robotics (T-RO)}, volume = {31}, year = {2015}, pages = {1404 - 1418}, abstract = {

In this paper we study the minimum length paths covered by the center of a unicycle equipped with a limited Field{\textendash}Of{\textendash}View (FOV) camera, which must keep a given landmark in sight. Previous works on this subject have provided the optimal synthesis for the cases in which the FOV is only limited in the horizontal directions (i.e. left and right bounds) or in the vertical directions (i.e. upper and lower bounds). In this paper we show how to merge previous results and hence obtaining, for a realistic image plane modeled as a rectangle, a finite alphabet of extremal arcs and the overall synthesis. As shown, this objective can not be straightforwardly achieved from previous results but needs further analysis and developments. Moreover, there are initial configurations such that there exists no optimal path. Nonetheless, we are always able to provide an e{\textendash}optimal path whose length approximates arbitrarily well any other shorter path. As final results, we provide a partition of the motion plane in regions such that the optimal or e{\textendash}optimal path from each point in thatregion is univocally determined.

}, keywords = {Embedded Control, Robotics}, doi = {10.1109/TRO.2015.2492878}, author = {P Salaris and A. Cristofaro and L. Pallottino} } @conference {SPHB11, title = {From Optimal Planning to Visual Servoing with Limited FOV}, booktitle = {2011 IEEE/RSJ International Conference on Intelligent RObots and Systems}, year = {2011}, month = {September 25 - 3}, pages = {2817-2824}, address = {S. Francisco, USA}, keywords = {Embedded Control, Robotics}, author = {P Salaris and L. Pallottino and S. Hutchinson and A. Bicchi} } @booklet {11, title = {Optimal synthesis for nonholonomic vehicles with constrained side sensors}, year = {2011}, note = {

Technical Report

}, keywords = {Embedded Control, Robotics}, author = {P Salaris and L. Pallottino and A. Bicchi} } @conference {SPB11, title = {Shortest Paths With Side Sensor}, booktitle = {2011 IEEE International Conference on Robotics and Automation}, year = {2011}, month = {May 9 - 13}, pages = {4875 - 4882}, address = {Shangai, China}, keywords = {Embedded Control, Robotics}, author = {P Salaris and L. Pallottino and A. Bicchi} } @conference {BSB10, title = {3 known landmarks are enough for solving planar bearing SLAM and fully reconstruct unknown inputs}, booktitle = {Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on}, year = {2010}, month = {October}, pages = {2539 -2545}, address = {St. Louis MO USA}, keywords = {Embedded Control, Robotics}, doi = {10.1109/IROS.2010.5648896}, author = {F. A. W. Belo and P Salaris and A. Bicchi} } @article {SPFB10, title = {Shortest Paths for a Robot with Nonholonomic and Field-of-View Constraints}, journal = {IEEE Trans. on Robotics}, volume = {26}, number = {2}, year = {2010}, pages = {269 - 281}, keywords = {Embedded Control, Robotics}, author = {P Salaris and D. Fontanelli and L. Pallottino and A. Bicchi} } @conference {PSFB-CDC09, title = {Shortest Paths for Non-holonomic Vehicles with Limited Field of View Camera}, booktitle = {Proc. IEEE International Conference on Decision and Control}, year = {2009}, month = {December, 16 - 1}, pages = {8434 - 8439}, address = {Shangai, China}, abstract = {

This paper presents a complete characterization of shortest paths for unicycle-like nonholonomic mobile robots equipped with a pinhole camera rigidly fixed with limited Field-Of-View (FOV). We preliminarily provide an alphabet of optimal control words and then we demonstrate how to obtain the partition induced by shortest path in the vehicle plane. The word univocally associated to a region encodes the shortest path from any starting point in that region to the goal point of the mobile robot without violating the FOV constraints.

}, keywords = {Embedded Control, Robotics}, author = {L. Pallottino and P Salaris and D. Fontanelli and A. Bicchi} } @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} }