@article {3710, title = {Touch as an auxiliary proprioceptive cue for movement control}, journal = {Indian Journal of Pure and Applied Physics }, year = {2019}, author = {A. Moscatelli and M. Bianchi and S. Ciotti and G. C. Bettelani and C. V. Parise and F. Lacquaniti and A. Bicchi} } @article {3217, title = {W-FYD: a Wearable Fabric-based Display for Haptic Multi-Cue Delivery and Tactile Augmented Reality}, journal = {IEEE Transactions on Haptics}, volume = {11}, year = {2018}, pages = {304 - 316}, chapter = {304}, abstract = {

Despite the importance of softness, there is no evidence of wearable haptic systems able to deliver controllable softness cues. Here, we present the Wearable Fabric Yielding Display (W-FYD), a fabric-based display for multi-cue delivery that can be worn on user{\textquoteright}s finger and enables, for the first time, both active and passive softness exploration. It can also induce a sliding effect under the finger-pad. A given stiffness profile can be obtained by modulating the stretching state of the fabric through two motors. Furthermore, a lifting mechanism allows to put the fabric in contact with the user{\textquoteright}s finger-pad, to enable passive softness rendering. In this paper, we describe the architecture of W-FYD, and a thorough characterization of its stiffness workspace, frequency response and softness rendering capabilities. We also computed device Just Noticeable Difference in both active and passive exploratory conditions, for linear and non-linear stiffness rendering as well as for sliding direction perception. The effect of device weight was also considered. Furthermore, performance of participants and their subjective quantitative evaluation in detecting sliding direction and softness discrimination tasks are reported. Finally, applications of W-FYD in tactile augmented reality for open palpation are discussed, opening interesting perspectives in many fields of human-machine interaction.

}, keywords = {Haptics, Robotics}, issn = {1939-1412}, doi = {10.1109/TOH.2017.2708717}, url = {http://ieeexplore.ieee.org/document/8003491/}, author = {S. Fani and S. Ciotti and E. Battaglia and A. Moscatelli and M. Bianchi} } @conference {3122, title = {Tactile Slip and Hand Displacement: Bending Hand Motion with Tactile Illusions}, booktitle = {IEEE World Haptic Conference}, year = {2017}, note = {

\ This work is supported in part by the European Research Council under the Advanced Grant SoftHands {\textquotedblleft}A Theory of Soft Synergies for a New Generation of Artificial Hands{\textquotedblright} no. ERC-291166, by the EU H2020 project {\textquotedblleft}SOFTPRO: Synergy-based Open-source Foundations and Technologies for Prosthetics and RehabilitatiOn{\textquotedblright} (no. 688857) and by the EU FP7 project (no. 601165), {\textquotedblleft}WEARable HAPtics for Humans and Robots (WEARHAP){\textquotedblright}. We thank Priscilla Balestrucci and Colleen P. Ryan for helpful comments and suggestions.

}, month = {06/2017}, publisher = {IEEE}, organization = {IEEE}, address = {F{\"u}rstenfeldbruck (Munich), Germany, June 6-9, 2017}, abstract = {

Touch provides an important cue to perceive the physical properties of the external objects. Recent studies showed that tactile sensation also contributes to our sense of hand position and displacement in perceptual tasks. In this study, we tested the hypothesis that, sliding our hand over a stationary surface, tactile motion may provide a feedback for guiding hand trajectory. We asked participants to touch a plate having parallel ridges at different orientations and to perform a self-paced, straight movement of the hand. In our daily-life experience, tactile slip motion is equal and opposite to hand motion. Here, we used a well-established perceptual illusion to dissociate, in a controlled manner, the two motion estimates. According to previous studies, this stimulus produces a bias in the perceived direction of tactile motion, predicted by tactile flow model. We showed a systematic deviation in the movement of the hand towards a direction opposite to the one predicted by tactile flow, supporting the hypothesis that touch contributes to motor control of the hand. We suggested a model where the perceived hand motion is equal to a weighted sum of the estimate from classical proprioceptive cues (e.g., from musculoskeletal system) and the estimate from tactile slip.

}, keywords = {Haptics}, author = {M. Bianchi and A. Moscatelli and S. Ciotti and G. C. Bettelani and F. Fioretti and F. Lacquaniti and A. Bicchi} } @article {2685, title = {The Change in Fingertip Contact Area as a Novel Proprioceptive Cue}, journal = {Current Biology}, volume = {26}, year = {2016}, month = {05/2016}, pages = {1159{\textendash}1163}, abstract = {

Humans, many animals, and certain robotic hands have deformable fingertip pads. Deformable pads have the advantage of conforming to the objects that are being touched, ensuring a stable grasp for a large range of forces and shapes. Pad deformations change with finger displacements during touch. Pushing a finger against an external surface typically provokes an increase of the gross contact area, potentially providing a relative motion cue, a situation comparable to looming in vision. The rate of increase of the area of contact also depends on the compliance of the object. Because objects normally do not suddenly change compliance, participants may interpret an artificially induced variation in compliance, which coincides with a change in the gross contact area, as a change in finger displacement, and consequently they may misestimate their finger{\textquoteright}s position relative to the touched object. To test this, we asked participants to compare the perceived displacements of their finger while contacting an object varying pseudo-randomly in compliance from trial to trial. Results indicate a bias in the perception of finger displacement induced by the change in compliance, hence in contact area, indicating that participants interpreted the altered cutaneous input as a cue to proprioception. This situation highlights the capacity of the brain to take advantage of knowledge of the mechanical properties of the body and of the external environment.

}, keywords = {Haptics, Robotics}, doi = {10.1016/j.cub.2016.02.052}, url = {http://www.sciencedirect.com/science/article/pii/S0960982216301348}, author = {A. Moscatelli and M. Bianchi and A. Serio and A. Terekhov and V. Hayward and M. Ernst and A. Bicchi} } @article {2652, title = {Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands}, journal = {Physics of Life Reviews}, volume = {17}, year = {2016}, month = {07/2016}, pages = {1-23}, keywords = {Haptics, Robotics}, url = {http://www.sciencedirect.com/science/article/pii/S1571064516000269}, author = {M. Santello and M. Bianchi and M Gabiccini and E. Ricciardi and G. Salvietti and D Prattichizzo and M. Ernst and A. Moscatelli and H. Jorntell and A. Kappers and K. Kyriakopulos and A Albu-Schaeffer and C. Castellini and A. Bicchi} } @article {2719, title = {Human and Robot Hands - Sensorimotor Synergies to Bridge the Gap Between Neuroscience and Robotics}, year = {2016}, publisher = {Springer}, abstract = {

This book looks at the common problems both human and robotic hands encounter when controlling the large number of joints, actuators and sensors required to efficiently perform motor tasks such as object exploration, manipulation and grasping. The authors adopt an integrated approach to explore the control of the hand based on sensorimotor synergies that can be applied in both neuroscience and robotics.\  Hand synergies are based on goal-directed, combined muscle and kinematic activation leading to a reduction of the dimensionality of the motor and sensory space, presenting a highly effective solution for the fast and simplified design of artificial systems.

Presented in two parts, the first part,\ Neuroscience,\ provides the theoretical and experimental foundations to describe the synergistic organization of the human hand. The second part,\ Robotics, Models and Sensing Tools, exploits the framework of hand synergies to better control and design robotic hands and haptic/sensing systems/tools, using a reduced number of control inputs/sensors, with the goal of pushing their effectiveness close to the natural one.

Human and Robot Hands\ provides a valuable reference for students, researchers and designers who are interested in the study and design of the artificial hand.

}, keywords = {Haptics, Robotics}, isbn = {978-3-319-26706-7}, url = {http://www.springer.com/us/book/9783319267050}, author = {M. Bianchi and A. Moscatelli} } @inbook {3729, title = {Sensorymotor Synergies: Fusion of Cutaneous Touch and Proprioception in the Perceived Hand Kinematics}, booktitle = {SPRINGER SERIES ON TOUCH AND HAPTIC SYSTEMS}, volume = {Human and Robot Hands}, year = {2016}, url = {https://link.springer.com/book/10.1007/978-3-319-26706-7}, author = {A. Moscatelli and M. Bianchi and A. Serio and A. Bicchi and M. Ernst} } @conference {2086, title = {A change in the fingertip contact area induces an illusory displacement of the finger}, booktitle = {Eurohaptics}, volume = {LNCS - Free Preview Haptics: Neuroscience, Devices, Modeling, and Applications}, year = {2014}, pages = {72 - 79}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = {Versailles, France), June 2014}, keywords = {Haptics, Robotics}, doi = {10.1007/978-3-662-44196-1_10}, author = {A. Moscatelli and M. Bianchi and A. Serio and Al Atassi, O. and S. Fani and A. Terekhov and V. Hayward and M. Ernst and A. Bicchi} }