@conference {3723, title = {ExoSense: Measuring Manipulation in a Wearable Manner}, booktitle = {Proceedings - IEEE International Conference on Robotics and Automation}, year = {2018}, doi = {10.1109/ICRA.2018.8460498}, author = {E. Battaglia and M. G. Catalano and G. Grioli and M. Bianchi and A. Bicchi} } @article {3450, title = {Hap-Pro: a wearable haptic device for proprioceptive feedback}, journal = {IEEE Transactions on Biomedical Engineering}, year = {2018}, pages = {1-1}, keywords = {haptic feedback, haptic interfaces, proprioception, Prosthetic hand, Robot sensing systems, Skin, upper extremity prosthesis, Visualization, Wheels}, issn = {0018-9294}, doi = {10.1109/TBME.2018.2836672}, author = {M. Rossi and M. Bianchi and E. Battaglia and M. G. Catalano and A. Bicchi} } @conference {3683, title = {Touch-Based Grasp Primitives for Soft Hands: Applications to Human-to-Robot Handover Tasks and Beyond}, booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)}, year = {2018}, author = {M. Bianchi and G. Averta and E. Battaglia and C. Rosales and M. Bonilla and A. Tondo and M. Poggiani and G. Santaera and S. Ciotti and M. G. Catalano 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 {3387, title = {Design of an under-actuated wrist based on adaptive synergies}, booktitle = {Robotics and Automation (ICRA), 2017 IEEE International Conference on}, year = {2017}, pages = {6679{\textendash}6686}, publisher = {IEEE}, organization = {IEEE}, abstract = {

An effective robotic wrist represents a key en- abling element in robotic manipulation, especially in prosthetics. In this paper, we propose an under-actuated wrist system, which is also adaptable and allows to implement different under- actuation schemes. Our approach leverages upon the idea of soft synergies - in particular the design method of adaptive synergies - as it derives from the field of robot hand design. First we intro- duce the design principle and its implementation and function in a configurable test bench prototype, which can be used to demonstrate the feasibility of our idea. Furthermore, we report on results from preliminary experiments with humans, aiming to identify the most probable wrist pose during the pre-grasp phase in activities of daily living. Based on these outcomes, we calibrate our wrist prototype accordingly and demonstrate its effectiveness to accomplish grasping and manipulation tasks.

}, author = {S. Casini and V. Tincani and G. Averta and M. Poggiani and C. Della Santina and E. Battaglia and M. G. Catalano and M. Bianchi and G. Grioli and A. Bicchi} } @conference {3106, title = {Design of an Under-Actuated Wrist Based on Adaptive Synergies}, booktitle = {IEEE International Conference of Robotics and Automation, ICRA2017}, year = {2017}, publisher = {IEEE}, organization = {IEEE}, address = {Singapore, 29 May-3 June 2017}, abstract = {

An effective robotic wrist represents a key enabling element in robotic manipulation, especially in prosthetics. In this paper, we propose an under-actuated wrist system, which is also adaptable and allows to implement different under-actuation schemes. Our approach leverages upon the idea of soft synergies - in particular the design method of adaptive synergies - as it derives from the field of robot hand design. First we introduce the design principle and its implementation and function in a configurable test bench prototype, which can be used to demonstrate the feasibility of our idea. Furthermore, we report on results from preliminary experiments with humans, aiming to identify the most probable wrist pose during the pre-grasp phase in activities of daily living. Based on these outcomes, we calibrate our wrist prototype accordingly and demonstrate its effectiveness to accomplish grasping and manipulation tasks.

}, keywords = {Haptics, Robotics}, doi = {10.1109/ICRA.2017.7989789}, url = {http://ieeexplore.ieee.org/document/7989789/}, author = {S. Casini and V. Tincani and G. Averta and M. Poggiani and C. Della Santina and E. Battaglia and M. G. Catalano and M. Bianchi and G. Grioli and A. Bicchi} } @conference {3365, title = {From humans to robots: The role of cutaneous impairment in human environmental constraint exploitation to inform the design of robotic hands}, booktitle = {Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2017 9th International Congress on}, year = {2017}, note = {

This work has been awarded with the "Best Student Paper Award" and the "Best Paper in Session - Robotics"

}, pages = {179{\textendash}184}, publisher = {IEEE}, organization = {IEEE}, address = {Munich}, abstract = {

Human hands are capable of a variety of movements, thanks to their extraordinary biomechanical structure and rely- ing on the richness of human tactile information. Recently, soft robotic hands have opened exciting possibilities and, at the same time, new issues related to planning and control. In this work, we propose to study human strategies in environmental constraint exploitation to grasp objects from a table. We have considered both the case where participants{\textquoteright} fingertips were free and with a rigid shell worn on them to understand the role of cutaneous touch. Main kinematic strategies were quantified and classified in an unsupervised manner. The principal strategies appear to be consistent in both experimental conditions, although cluster cardinality differs. Furthermore, as expected, tactile feedback improves both grasp precision and quality performance. Results opens interesting perspective for sensing and control of soft manipulators.

}, author = {G. Averta and C. Della Santina and E. Battaglia and S. Ciotti and V. Arapi and S. Fani and M. Bianchi} } @article {2841, title = {An Integrated Approach to Characterize the Behavior of a Human Fingertip in Contact with a Silica Window}, journal = {IEEE Transactions on Haptics}, volume = {10}, year = {2017}, month = {01/2017}, pages = {123-129}, abstract = {

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 behavior of human fingertip. The output of this characterization can then be exploited to drive the design of numerical models, which can be used to investigate in depth the mechanisms of human sensing. In this work, we present a novel integrated measurement technique and experimental set up for in vivo characterization of the deformation of the human fingertip at contact, in terms of contact area, force, deformation, and pressure distribution. The device presented here compresses the participant{\textquoteright}s fingertip against a flat surface, while the aforementioned measurements are acquired and experimental parameters such as velocity, finger orientation, and displacement (indentation) controlled. Experimental outcomes are then compared and integrated with the output of a 3D finite element (FE) model of the human fingertip, built upon existing validated models. The agreement between numerical and experimental data represents a validation for our approach.

}, keywords = {Haptics, Robotics}, issn = {1939-1412}, doi = { 10.1109/TOH.2016.2614679}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7579582}, author = {M. L. D{\textquoteright}Angelo and F. Cannella and M. Bianchi and M. D{\textquoteright}Imperio and E. Battaglia and M. Poggiani and G. Rossi and A. Bicchi and D. G. Caldwell} } @article {3216, title = {Postural Hand Synergies during Environmental Constraint Exploitation}, journal = {Fronters in Neurorobotics}, year = {2017}, month = {08/2017}, abstract = {

Humans are able to intuitively exploit the shape of an object and environmental constraints to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of kinematic strategies can be observed. However, in this work we formulate the hypothesis that such ability can be described in terms of a synergistic behavior in the generation of hand postures, i.e., using a reduced set of commonly used kinematic patterns. This is in analogy with previous studies showing the presence of such behavior in different tasks, such as grasping. We investigated this hypothesis in experiments performed by six subjects, who were asked to grasp objects from a flat surface. We quantitatively characterized hand posture behavior from a kinematic perspective, i.e., the hand joint angles, in both pre-shaping and during the interaction with the environment. To determine the role of tactile feedback, we repeated the same experiments but with subjects wearing a rigid shell on the fingertips to reduce cutaneous afferent inputs. Results show the persistence of at least two postural synergies in all the considered experimental conditions and phases. Tactile impairment does not alter significantly the first two synergies, and contact with the environment generates a change only for higher order Principal Components. A good match also arises between the first synergy found in our analysis and the first synergy of grasping as quantified by previous work. The present study is motivated by the interest of learning from the human example, extracting lessons that can be applied in robot design and control. Thus, we conclude with a discussion on implications for robotics of our findings.

}, keywords = {Haptics, Robotics}, doi = {https://doi.org/10.3389/fnbot.2017.00041}, url = {https://www.frontiersin.org/articles/10.3389/fnbot.2017.00041/full}, author = {C. Della Santina and M. Bianchi and G. Averta and S. Ciotti and V. Arapi and S. Fani and E. Battaglia and M. G. Catalano and M. Santello and A. Bicchi} } @conference {3121, title = {The Rice Haptic Rocker: skin stretch haptic feedback with the Pisa/IIT SoftHand }, booktitle = {IEEE World Haptics Conference}, year = {2017}, note = {

The authors gratefully acknowledge Matteo Rossi for his valuable advice and Mikaela Juzswik for her unique contribution in the physical realization of some of the equipment used in the experiments. This work was partially supported by the European Community funded project WEARHAP (contract 601165), by the European Commission project (Horizon 2020 research program) SOFTPRO (no. 688857), by the ERC Advanced Grant no. 291166 SoftHands and by the NSF grant IIS-1065497.

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

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.

}, keywords = {Haptics}, author = {E. Battaglia and J. P. Clark and M. Bianchi and M. G. Catalano and A. Bicchi and M. K. O{\textquoteright}Malley} } @conference {3726, title = {Synergy-driven performance enhancement of vision-based 3D hand pose reconstruction}, booktitle = {Wireless mobile communication and healthcare : 6th International conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings}, year = {2017}, doi = {10.1007/978-3-319-58877-3_42}, author = {S. Ciotti and E. Battaglia and I. Oikonomidis and A. Makris and A. Tsoli and A. Bicchi and A. A. Agyros and M. Bianchi} } @article {3363, title = {Unvealing the principal modes of human upper limb movements through functional analysis}, journal = {Frontiers in Robotics and AI}, volume = {4}, year = {2017}, pages = {37}, abstract = {

The rich variety of human upper limb movements requires an extraordinary coordination of different joints according to specific spatio-temporal patterns. However, unvealing these motor schemes is a challenging task. Principal components have been often used for analogous purposes, but such an approach relies on hypothesis of temporal uncorrelation of upper limb poses in time. To overcome these limitations, in this work, we leverage on functional principal component analysis (fPCA). We carried out experiments with 7 subjects performing a set of most significant human actions, selected considering state-of-the-art grasp taxonomies and human kinematic workspace. fPCA results show that human upper limb trajectories can be reconstructed by a linear combination of few principal time-dependent functions, with a first component alone explaining around 60/70\% of the observed behaviors. This allows to infer that in daily living activities humans reduce the complexity of movement by modulating their motions through a reduced set of few principal patterns. Finally, we discuss how this approach could be profitably applied in robotics and bioengineering, opening fascinating perspectives to advance the state of the art of artificial systems, as it was the case of hand synergies.

}, author = {G. Averta and C. Della Santina and E. Battaglia and F. Felici and M. Bianchi and A. Bicchi} } @conference {2655, title = {Reflex Control of the Pisa/IIT SoftHand during Object Slippage}, booktitle = {IEEE International Conference of Robotics and Automation (ICRA2016)}, year = {2016}, pages = {1972 - 1979}, publisher = {IEEE}, organization = {IEEE}, address = {Stockholm, Sweden}, abstract = {

In this work, to guarantee the Pisa/IIT SoftHand{\textquoteright}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{\textquoteright}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.

}, keywords = {Haptics, Robotics}, doi = {10.1109/ICRA.2016.7487344}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7487344}, author = {A. Ajoudani and E. Hocaoglu and Altobelli, A and M. Rossi and E. Battaglia and N G Tsagarakis and A. Bicchi} } @article {2867, title = {A Synergy-Based Optimally Designed Sensing Glove for Functional Grasp Recognition}, journal = {Sensors}, volume = {16}, year = {2016}, abstract = {

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 structure. Wearable sensing can represent a viable solution to tackle this issue, since it enables a more natural kinematic monitoring. However, the intrinsic accuracy (as well as the number of sensing elements) of wearable hand pose reconstruction (HPR) systems can be severely limited by ergonomics and cost considerations. In this paper, we combined the theoretical foundations of the optimal design of HPR devices based on hand synergy information, i.e., the inter-joint covariation patterns, with textile goniometers based on knitted piezoresistive fabrics (KPF) technology, to develop, for the first time, an optimally-designed under-sensed glove for measuring hand kinematics. We used only five sensors optimally placed on the hand and completed hand pose reconstruction (described according to a kinematic model with 19 degrees of freedom) leveraging upon synergistic information. The reconstructions we obtained from five different subjects were used to implement an unsupervised method for the recognition of eight functional grasps, showing a high degree of accuracy and robustness.

}, keywords = {Haptics}, doi = {10.3390/s16060811}, url = {http://www.mdpi.com/1424-8220/16/6/811}, author = {S. Ciotti and E. Battaglia and N. Carbonaro and A. Bicchi and A. Tognetti and M. Bianchi} } @article {2544, title = {ThimbleSense: a fingertip-wearable tactile sensor for grasp analysis}, journal = {IEEE Transactions on Haptics}, volume = {9}, year = {2016}, note = {
This work was partially supported by the European Community funded projects WEARHAP, PACMAN and SOMA (contracts 601165, 600918 and 645599 respectively), by the ERC Advanced Grant no. 291166 SoftHands
}, month = {03/2016}, pages = {121-133}, abstract = {

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 on the principle of intrinsic tactile sensing. By exploiting the integration of this approach with an active marker-based motion capture system, the proposed device simultaneously measures absolute position and orientation of the fingertip, which in turn yields measurements of contacts and force components expressed in a global reference frame. The main advantage of this approach with respect to more conventional solutions is its versatility. Specifically, ThimbleSense can be used to study grasping and manipulation of a wide variety of objects, while still retaining complete force/torque measurements. Nevertheless, validation of the proposed device is a necessary step before it can be used for experimental purposes. In this work we present the results of a series of experiments designed to validate the accuracy of ThimbleSense measurements and evaluate the effects of distortion of tactile afferent inputs caused by the device{\textquoteright}s rigid shells on grasp forces.

}, keywords = {Haptics, Robotics}, issn = {1939-1412}, doi = {10.1109/TOH.2015.2482478}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7294702}, author = {E. Battaglia and M. Bianchi and Altobelli, A and G. Grioli and M. G. Catalano and A. Serio and M. Santello and A. Bicchi} } @conference {2898, title = {Towards a Novel Generation of Haptic and Robotic Interfaces: Integrating A ective Physiology in Human-Robot Interaction}, booktitle = {IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) 2016.}, year = {2016}, note = {
This work is supported in part by the European Re-
search 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 FP7 project {\textquotedblleft}WEAR-
able HAPtics for Humans and Robots (WEARHAP){\textquotedblright} (no.
601165) and by the EU H2020 project {\textquotedblleft}SoftPro: Synergy-
based Open-source Foundations and Technologies for Pros-
thetics and RehabilitatiOn{\textquotedblright} (H2020-ICT-688857).
}, address = {New York, August 26-31, 2016}, doi = {10.1109/ROMAN.2016.7745100}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7745100}, author = {M. Bianchi and G. Valenza and A. Greco and M. Nardelli and E. Battaglia and A. Bicchi and E. P. Scilingo} } @conference {2723, title = {A Wearable Fabric-based Display for Haptic Multi-Cue Delivery}, booktitle = {IEEE Haptics Symposium}, year = {2016}, publisher = {IEEE}, organization = {IEEE}, address = {Philadelphia, USA, April 8-11, 2016}, abstract = {

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 much effort has been devoted to designing haptic

systems able to suitably reproduce this information. At the

same time, wearability has gained an increasing importance as

a novel paradigm to enable a more effective and naturalistic

human robot interaction. Capitalizing upon our previous works

on grounded softness devices, in this paper we present the

Wearable Fabric Yielding Display (W-FYD), a fabric-based

tactile display for multi-cue delivery that can be worn by

user{\textquoteright}s finger. W-FYD enables to implement both passive and

active tactile exploration. Different levels of stiffness can be

reproduced by modulating the stretching state of a fabric

through two DC motors. An additional vertical degree of

freedom is implemented through a lifting mechanism, which

enables to convey softness stimuli to the user{\textquoteright}s finger pad.

Furthermore, a sliding effect on the finger can be also induced.

Experiments with humans show the effectiveness of W-FYD for

haptic multi-cue delivery.

}, keywords = {Haptics, Robotics}, doi = {10.1109/HAPTICS.2016.7463190}, url = {http://ieeexplore.ieee.org/search/searchresult.jsp?queryText=A\%20Wearable\%20Fabric-based\%20Display\%20for\%20Haptic\%20Multi-Cue\%20Delivery\&newsearch=true}, author = {M. Bianchi and E. Battaglia and M. Poggiani and S. Ciotti and A. Bicchi} } @conference {2539, title = {A Finite Element Model of Tactile Flow for Softness Perception}, booktitle = {37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2015)}, year = {2015}, note = {

This work was partially supported by the European Research Council under the ERC Advanced Grant no. 291166 SoftHands (A Theory of Soft Synergies for a New Generation of Artificial Hands) and under the grant agreement no. 601165 Wearhap (Wearable Haptics for Humans and Robots), within the FP7/2007-2013 program: Cognitive Systems and Robotics.

}, pages = {2430 - 2433}, publisher = {IEEE}, organization = {IEEE}, address = {Milano, Italy, August 25th-29th, 2015}, keywords = {Haptics, Robotics}, doi = {10.1109/EMBC.2015.7318884}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7318884}, author = {E. Battaglia and M. Bianchi and M. L. D{\textquoteright}Angelo and M. D{\textquoteright}Imperio and F. Cannella and E. P. Scilingo and A. Bicchi} } @conference {2233, title = {Exploiting hand kinematic synergies and wearable under-sensing for hand functional grasp recognition}, booktitle = { 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" }, year = {2014}, address = {November 3{\textendash}5, 2014 Athens, Greece}, keywords = {Haptics, Robotics}, doi = { http://dx.doi.org/10.4108/icst.mobihealth.2014.257228}, author = {M. Bianchi and N. Carbonaro and E. Battaglia and F. Lorussi and A. Bicchi and D. De Rossi and A. Tognetti} } @conference {2083, title = {ThimbleSense: A new wearable tactile device for human and robotic fingers }, booktitle = {Haptics Symposium (HAPTICS), 2014 IEEE}, year = {2014}, address = {Houston, TX}, keywords = {Haptics, Robotics}, doi = {10.1109/HAPTICS.2014.6775571}, author = {E. Battaglia and G. Grioli and M. G. Catalano and M. Bianchi and A. Serio and M. Santello and A. Bicchi} } @conference {2130, title = {ThimbleSense: An Individual-Digit Wearable Tactile Sensor for Experimental Grasp Studies}, booktitle = {IEEE International Conference on Robotics and Automation - ICRA 2014}, year = {2014}, pages = {2728 - 2735 }, publisher = {IEEE}, organization = {IEEE}, address = { Hong Kong, May 31 - June 7, 2014}, abstract = {

Measuring contact forces applied by a hand to a grasped object is a necessary step to understand the mysteries that still hide in the unparalleled human grasping ability. Nevertheless, simultaneous collection of information about the position of contacts and about the magnitude and direction of forces is still an elusive task. In this paper we introduce a wearable device that addresses this problem, and can be used to measure generalized forces during grasping. By assembling two supports around a commercial 6-axis force/torque sensor we obtain a thimble that can be easily positioned on a fingertip. The device is used in conjunction with an active marker-based motion capture system to simultaneously obtain absolute position and orientation of the thimbles, without requiring any assumptions on the kinematics of the hand. Finally, using the contact centroid algorithm, introduced in [1], position of contact points during grasping are determined. This paper shows the design and implementation of the device, as well as some preliminary experimental validation.

}, keywords = {Haptics, Robotics}, doi = {10.1109/ICRA.2014.6907250 }, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6907250}, author = {E. Battaglia and G. Grioli and M. G. Catalano and M. Santello and A. Bicchi} } @article {3648, title = {Skin stretch haptic feedback to convey closure information in anthropomorphic, under-actuated upper limb soft prostheses}, journal = {IEEE Transactions on Haptics ( Early Access )}, author = {E. Battaglia and J. Clark and M. Bianchi and M. G. Catalano and A. Bicchi and M. K. O{\textquoteright}Malley} }