@conference {1759, title = {Shortest paths for wheeled robots with limited Field-Of-View: introducing the vertical constraint}, booktitle = {IEEE Conference on Decision and Control}, year = {2013}, pages = {5143 - 5149}, address = {Florence, Italy}, keywords = {Robotics}, author = {P Salaris and A. Cristofaro and L. Pallottino and A. Bicchi} } @conference {1987, title = {Soft-Actuators in Cyclic Motion: Analytical Optimization of Stiffness and Pre-Load}, booktitle = {IEEE-RAS International Conference on Humanoid Robots}, year = {2013}, address = {Atlanta, Georgia, USA}, keywords = {Robotics}, author = {A. Velasco and G M Gasparri and M. Garabini and L. Malagia and P Salaris and A. Bicchi} } @article {1230, title = {Synergy-Based Hand Pose Sensing: Optimal Glove Design}, journal = {International Journal of Robotics Research}, volume = {32}, year = {2013}, pages = {396-406}, abstract = {

In this paper we study the problem of improving human hand pose sensing device performance by exploiting the knowledge on how humans most frequently use their hands in grasping tasks. In a companion paper we studied the problem of maximizing the reconstruction accuracy of the hand pose from partial and noisy data provided by any given pose sensing device (a sensorized "glove") taking into account statistical a priori information. In this paper we consider the dual problem of how to design pose sensing devices, i.e. how and where to place sensors on a glove, to get maximum information about the actual hand posture. We study the continuous case, whereas individual sensing elements in the glove measure a linear combination of joint angles, the discrete case, whereas each measure corresponds to a single joint angle, and the most general hybrid case, whereas both continuous and discrete sensing elements are available. The objective is to provide, for given a priori information and fixed number of measurements, the optimal design minimizing in average the reconstruction error. Solutions relying on the geometrical synergy definition as well as gradient flow-based techniques are provided. Simulations of reconstruction performance show the effectiveness of the proposed optimal design.

}, keywords = {Robotics}, doi = {10.1177/0278364912474079}, author = {M. Bianchi and P Salaris and A. Bicchi} } @article {1231, title = {Synergy-based Hand Pose Sensing: Reconstruction Enhancement}, journal = {International Journal of Robotics Research}, volume = {32}, year = {2013}, pages = { 407-424}, abstract = {

Low-cost sensing gloves for reconstruction posture provide measurements which are limited under several regards. They are generated through an imperfectly known model, are subject to noise, and may be less than the number of Degrees of Freedom (DoFs) of the hand. Under these conditions, direct reconstruction of the hand posture is an ill-posed problem, and performance can be very poor. This paper examines the problem of estimating the posture of a human hand using(low-cost) sensing gloves, and how to improve their performance by exploiting the knowledge on how humans most frequently use their hands. To increase the accuracy of pose reconstruction without modifying the glove hardware - hence basically at no extra cost - we propose to collect, organize, and exploit information on the probabilistic distribution of human hand poses in common tasks. We discuss how a database of such an a priori information can be built, represented in a hierarchy of correlation patterns or postural synergies, and fused with glove data in a consistent way, so as to provide a good hand pose reconstruction in spite of insufficient and inaccurate sensing data. Simulations and experiments on a low-cost glove are reported which demonstrate the effectiveness of the proposed techniques.

}, keywords = {Robotics}, doi = {10.1177/0278364912474078}, author = {M. Bianchi and P Salaris and A. Bicchi} } @article {1236, title = {Shortest Paths for Finned, Winged, Legged and Wheeled Vehicles with Side-Looking Sensors}, journal = {International Journal of Robotics Research}, volume = {31}, year = {2012}, pages = {997-1017}, keywords = {Robotics}, doi = {10.1177/0278364912446005}, author = {P Salaris and L. Pallottino and A. Bicchi} } @conference {1240, title = {Synergy-based Optimal Desing of Hand Pose Sensing}, booktitle = {International Conference of Intelligent Robots and Systems - IROS 2012- JTCF Award}, year = {2012}, month = {October 7 - 12}, pages = {3929 - 3935 }, address = {Vilamoura, Algarve, Portugal}, keywords = {Robotics}, author = {M. Bianchi and P Salaris 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} } @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} }