01636nas a2200181 4500008003900000245008500039210006900124260007100193520094800264653001201212100001801224700001801242700001601260700002001276700001501296700002101311856012201332 2017 d00aThe Rice Haptic Rocker: skin stretch haptic feedback with the Pisa/IIT SoftHand 0 aRice Haptic Rocker skin stretch haptic feedback with the PisaIIT aFürstenfeldbruck (Munich), Germany, June 6-9, 2017bIEEEc06/20173 a

Myoelectric prostheses have seen increased application in clinical practice and research, due to their potential for good functionality and versatility. Yet, myoelectric prostheses still suffer from a lack of intuitive control and haptic feedback, which can frustrate users and lead to abandonment. To address this problem, we propose to convey proprioceptive information for a prosthetic hand with skin stretch using the Rice Haptic Rocker. This device was integrated with the myo-controlled version of Pisa/IIT SoftHand and a size discrimination test with 18 able bodied subjects was performed to evaluate the effectiveness of the proposed approach. Results show that the Rice Haptic Rocker can be successfully used to convey proprioceptive information. A Likert survey was also presented to the experiment participants, who evaluated the integrated setup as easy to use and effective in conveying proprioception.

10aHaptics1 aBattaglia, E.1 aClark, J., P.1 aBianchi, M.1 aCatalano, M. G.1 aBicchi, A.1 aO'Malley, M., K. uhttps://www.centropiaggio.unipi.it/publications/rice-haptic-rocker-skin-stretch-haptic-feedback-pisaiit-softhand.html02465nas a2200217 4500008004500000245006700045210006600112260002800178300001600206520181400222653001202036653001302048100001702061700001702078700001702095700001402112700001802126700002002144700001502164856006802179 2016 engldsh 00aReflex Control of the Pisa/IIT SoftHand during Object Slippage0 aReflex Control of the PisaIIT SoftHand during Object Slippage aStockholm, SwedenbIEEE a1972 - 19793 a

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 are designed and integrated into the thumb

and middle fingers of the SoftHand for real-time detection and

control of the slippage. Current reflex regulates the restoring

grasp forces of the hand by modulating the motor’s current

profile according to an update law. Pose and Impedance reflex

modes instead replicate this behaviour by implementing an

impedance control scheme. The difference between the two

latter is that the stiffness gain in Impedance reflex mode is

being varied in addition to the hand pose, as a function of

the slippage on the fingertips. Experimental setup also includes

a seven degrees-of-freedom robotic arm to realize consistent

trajectories (e.g. lifting) among three control modes for the sake

of comparison. Different test objects are considered to evaluate

the efficacy of the proposed reflex modes in our experimental

setup. Results suggest that task-appropriate restoring forces

can be achieved using Impedance reflex due to its capability

in demonstrating instantaneous and rather smooth reflexive

behaviour during slippage. Preliminary experiments on five

healthy human subjects provide evidence on the similarity of the

control concepts exploited by the humans and the one realized

by the Impedance reflex, highlighting its potential in prosthetic

applications.

10aHaptics10aRobotics1 aAjoudani, A.1 aHocaoglu, E.1 aAltobelli, A1 aRossi, M.1 aBattaglia, E.1 aTsagarakis, N G1 aBicchi, A. uhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7487344