Risultati di ricerca

con K2 Items e Tipo , e con Elenco Pubblicazioni - Publications e K2 Category , e con EDOARDO BATTAGLIA e Author sono stati trovati i seguenti risultati:

S. Ciotti, E. Battaglia, I. Oikonomidis, A. Makris, A. Tsoli, A. Bicchi, A. A. Argyros, M. Bianchi: “Synergy-driven Performance Enhancement of Vision-based 3D Hand Pose Reconstruction”, MOBIHEALTH 2016, accepted
In this work we propose, for the rst time, to improve the performance of a hand pose reconstruction (HPR) technique from RGBD camera data, which is a ected by self-occlusions, leveraging upon postural synergy information, i.e., a priori information on...
M. Bianchi, G. Valenza, A. Greco, M. Nardelli, E. Battaglia, A. Bicchi, E.P. Scilingo: " Towards a Novel Generation of Haptic and Robotic Interfaces: Integrating Affective Physiology in Human-Robot Interaction”, RO-MAN 2016, August 2016
Haptic interfaces are special robots that interact with people to convey touch-related information. In addition to such a discriminative aspect, touch is also a highly emotionrelated sense. However, while a lot of effort has been spent to investigate...
M. Bianchi, E. Battaglia, M. Poggiani, S. Ciotti, A. Bicchi: “ A Wearable Fabric-based display for haptic multi-cue delivery “, 2016 IEEE Haptics Symposium (HAPTICS), April 2016, Best Paper Award
Softness represents one of the most informative haptic properties, which plays a fundamental role in both everyday tasks and more complex procedures. Thus, it is not surprising that a lot of effort has been devoted to designing haptic systems able to...
A. Ajoudani, E. Hocaoglu, A. Altobelli, M. Rossi, E. Battaglia, N. Tsagarakis, A. Bicchi: " Reflex control of the Pisa/IIT SoftHand during object slippage", 2016 IEEE International Conference on Robotics and Automation (ICRA), May 2016
In this work, to guarantee the Pisa/IIT SoftHand's grasp robustness against slippage, three reflex control modes, namely Current, Pose and Impedance, are implemented and experimentally evaluated. Towards this objective, ThimbleSense fingertip sensors...
M. L. D’Angelo, F. Cannella, M. Bianchi, M. D’Imperio, E. Battaglia at al.: " An Integrated Approach to Characterize the Behavior of a Human Finger-tip in Contact with a Silica Window ", IEEE Transactions on Haptics, in press
Understanding the mechanisms of human tactual perception represents a challenging task in haptics and humanoid robotics. A classic approach to tackle this issue is to accurately and exhaustively characterize the mechanical behaviour of human fingertip....
S. Ciotti, E. Battaglia, N. Carbonaro, A. Bicchi, A. Tognetti, M. Bianchi (2016): “A Synergy-Based Optimally Designed Sensing Glove for Functional Grasp Recognition”, Sensors, 16(6), 811, June 2016
Achieving accurate and reliable kinematic hand pose reconstructions represents a challenging task. The main reason for this is the complexity of hand biomechanics, where several degrees of freedom are distributed along a continuous deformable...
E. Battaglia, M. Bianchi, A. Altobelli, G. Grioli, M. G. Catalano, A. Serio, M. Santello and A. Bicchi: "ThimbleSense: a fingertip-wearable tactile sensor for grasp analysis", IEEE Transactions on Haptics, Jan.-March 1 2016
Accurate measurement of contact forces between hand and grasped objects is crucial to study sensorimotor control during grasp and manipulation. In this work we introduce ThimbleSense, a prototype of individual-digit wearable force/torque sensor based...
E. Battaglia, M. Bianchi, M. L. D'Angelo, M. D'Imperio, F. Cannella, E. P. Scilingo, A. Bicchi: "A Finite Element Model of Tactile Flow for Softness Perception", EMBC 2015
Touch is an extremely dynamic sense. To take into account this aspect, it has been hypothesized that there are mechanisms in the brain that specialize in processing dynamic tactile stimuli, in a way not too dissimilar from what happens for optical flow...
M. Bianchi, N. Carbonaro, E. Battaglia, F. Lorussi, A. Bicchi, D. De Rossi, A. Tognetti: "Exploiting hand kinematic synergies and wearable under-sensing for hand functional grasp recognition," Mobihealth 2014, pp.168-171
Wearable sensing represents an effective manner to correctly recognize hand functional grasps. The need of wearability is strictly related to the minimization of the number of sensors, in order to avoid cumbersome and hence obtrusive systems. In this...

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