@article {3326, title = {Decentralized Trajectory Tracking Control for Soft Robots Interacting with the Environment}, journal = {IEEE Transactions on Robotics (T-RO).}, volume = {Early Access}, year = {2018}, month = {06/2018}, abstract = {

Despite the classic nature of the problem, trajectory

tracking for soft robots, i.e. robots with compliant elements

deliberately introduced in their design, still presents several

challenges. One of these is to design controllers which can

obtain sufficiently high performance while preserving the physical

characteristics intrinsic to soft robots. Indeed, classic control

schemes using high gain feedback actions fundamentally alter the

natural compliance of soft robots effectively stiffening them, thus

de facto defeating their main design purpose. As an alternative

approach, we consider here to use a low-gain feedback, while

exploiting feedforward components. In order to cope with the

complexity and uncertainty of the dynamics, we adopt a decentralized,

iteratively learned feedforward action, combined with

a locally optimal feedback control. The relative authority of the

feedback and feedforward control actions adapts with the degree

of uncertainty of the learned component. The effectiveness of the

method is experimentally verified on several robotic structures

and working conditions, including unexpected interactions with

the environment, where preservation of softness is critical for

safety and robustness.

}, keywords = {Robotics}, author = {F. Angelini and C. Della Santina and M. Garabini and M. Bianchi and G M Gasparri and G. Grioli 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} } @article {3119, title = {Controlling Soft Robots: Balancing Feedback and Feedforward Elements}, journal = {IEEE Robotics and Automation Magazine}, volume = {24}, year = {2017}, note = {

This work is supported by European Commission grant H2020-ICT-645599 ({\textquotedblleft}SOMA{\textquotedblright}: SOft Manipulation) and European Research Council Advanced grant 291166 ({\textquotedblleft}SoftHands{\textquotedblright}).

}, month = {05/2017}, pages = {75 - 83}, abstract = {

Soft robots (SRs) represent one of the most significant recent evolutions in robotics. Designed to embody safe and natural behaviors, they rely on compliant physical structures purposefully designed to embody desirable and sometimes variable impedance characteristics. This article discusses the problem of controlling SRs. We start by observing that most of the standard methods of robotic control{\textemdash}e.g., high-gain robust control, feedback linearization, backstepping, and active impedance control{\textemdash}effectively fight against or even completely cancel the physical dynamics of the system, replacing them with a desired model. This defeats the purpose of introducing physical compliance. After all, what is the point of building soft actuators if we then make them stiff by control? An alternative to such approaches can be conceived by observing humans, who can obtain good motion accuracy and repeatability while maintaining the intrinsic softness of their bodies. In this article, we show that an anticipative model of human motor control, using a feedforward action combined with low-gain feedback, can be used to achieve human-like behavior. We present an implementation of such an idea that uses iterative learning control. Finally, we present the experimental results of the application of such learned anticipative control to a physically compliant robot. The control application achieves the desired behavior much better than a classical feedback controller used for comparison.

}, keywords = {Robotics}, issn = {1070-9932}, doi = {10.1109/MRA.2016.2636360}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7930438}, author = {C. Della Santina and M. Bianchi and G. Grioli and F. Angelini and M. G. Catalano and M. Garabini 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} } @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} } @article {3258, title = {The SoftHand Pro-H: A Hybrid Body-Controlled, Electrically Powered Hand Prosthesis for Daily Living and Working }, journal = {IEEE Robotics and Automation Magazine}, year = {2017}, note = {

This work was supported by the European Commission project (Horizon 2020 research program) SOFTPRO 688857, the European Research Council under the Advanced Grant SoftHands {\textquotedblleft}A Theory of Soft Synergies for a New Generation of Artificial Hands,{\textquotedblright} ERC-291166, and the Proof of Concept Project SoftHand Pro-H, ERC-2016-PoC 727536.\ 

}, month = {11/2017}, keywords = {Haptics, Robotics}, issn = {1070-9932}, doi = {10.1109/MRA.2017.2751662}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8110634}, author = {C. Piazza and M. G. Catalano and S. B. Godfrey and M. Rossi and G. Grioli and M. Bianchi and K. Zhao and A. Bicchi} } @article {2844, title = {Assessment of Myoelectric Controller Performance and Kinematic Behavior of a Novel Soft Synergy-inspired Robotic Hand for Prosthetic Applications}, journal = {Frontiers in Neurorobotics}, volume = {10}, year = {2016}, month = {10/2016}, abstract = {

Myoelectric-artificial limbs can significantly advance the state of the art in prosthetics, since they can be used to control mechatronic devices through muscular activity in a way that mimics how the subjects used to activate their muscles before limb loss. However, surveys indicate that dissatisfaction with the functionality of terminal devices underlies the widespread abandonment of prostheses. We believe that one key factor to improve acceptability of prosthetic devices is to attain human-likeness of prosthesis movements, a goal which is being pursued by research on social and human-robot interactions. Therefore, to reduce early abandonment of terminal devices, we propose that controllers should be designed such as to ensure effective task accomplishment in a natural fashion. In this work, we have analyzed and compared the performance of three types of myoelectric controller algorithms based on surface electromyography to control an under-actuated and multi-degrees of freedom prosthetic hand, the SoftHand Pro. The goal of the present study was to identify the myoelectric algorithm that best mimics the native hand movements. As a preliminary step, we first quantified the repeatability of the SoftHand Pro finger movements and identified the electromyographic recording sites for able-bodied individuals with the highest signal-to-noise ratio from two pairs of muscles, i.e. flexor digitorum superficialis/extensor digitorum communis, and flexor carpi radialis/extensor carpi ulnaris. Able-bodied volunteers were then asked to execute reach-to-grasp movements, while electromyography signals were recorded from flexor digitorum superficialis/extensor digitorum communis as this was identified as the muscle pair characterized by high signal-to-noise ratio and intuitive control. Subsequently, we tested three myoelectric controllers that mapped electromyography signals to position of the SoftHand Pro. We found that a differential electromyography-to-position mapping ensured the highest coherence with hand movements. Our results represent a first step towards a more effective and intuitive control of myoelectric hand prostheses.

}, keywords = {Haptics, Robotics}, doi = {10.3389/fnbot.2016.00011}, url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066092/}, author = {S. Fani and M. Bianchi and S. Jain and J. Pimenta Neto and S. Boege and G. Grioli and A. Bicchi and M. Santello} } @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} } @conference {3086, title = {Soft Robots that Mimic the Neuromusculoskeletal System}, booktitle = {3rd International Conference on NeuroRehabilitation (ICNR2016)}, volume = {Converging Clinical and Engineering Research on Neurorehabilitation}, year = {2016}, month = {10/2016}, pages = {259-263}, publisher = {Springer}, organization = {Springer}, abstract = {

In motor control studies, the question on which
parameters human beings and animals control through their
nervous system has been extensively explored and discussed,
and several hypotheses proposed. It is widely acknowledged
that useful inputs in this problem could be provided by
developing artificial replication of the neuromusculoskeletal
system, to experiment different motor control hypothesis. In
this paper we present such device, which reproduces many of
the characteristics of an agonistic-antagonistic muscular pair
acting on a joint.

}, keywords = {Robotics}, doi = { 10.1007/978-3-319-46669-9_45}, url = {http://link.springer.com/chapter/10.1007/978-3-319-46669-9_45}, author = {M. Garabini and C. Della Santina and M. Bianchi and M. G. Catalano and G. Grioli and A. Bicchi} } @inbook {2865, title = {The SoftHand Pro: Translation from Robotic Hand to Prosthetic Prototype}, booktitle = {Converging Clinical and Engineering Research on Neurorehabilitation II}, volume = {15}, number = {Biosystems \& Biorobotics }, year = {2016}, note = {

Proceedings of the 3rd International Conference on NeuroRehabilitation (ICNR2016), October 18-21, 2016, Segovia, Spain

}, pages = {469-473}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, abstract = {

This work presents the translation from a humanoid robotic hand to a prosthetic prototype and its first evaluation in a set of 9 persons with amputation. The Pisa/IIT SoftHand is an underactuated hand built on the neuroscientific principle of motor synergies enabling it to perform natural, human-like movements and mold around grasped objects with minimal control input. These features motivated the development of the SoftHand Pro, a prosthetic version of the SoftHand built to interface with a prosthetic socket. The results of the preliminary testing of the SoftHand Pro showed it to be a highly functional design with an intuitive control system. Present results warrant further testing to develop the SoftHand Pro.

}, keywords = {Haptics, Robotics}, issn = {978-3-319-46668-2}, doi = {10.1007/978-3-319-46669-9_78}, url = {http://link.springer.com/chapter/10.1007/978-3-319-46669-9_78}, author = {S. B. Godfrey and M. Bianchi and K. Zhao and M. G. Catalano and R. Breighner and A. Theuer and K. Andrews and G. Grioli and M. Santello and A. Bicchi} } @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 {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 {2454, title = {Characterization of Nonlinear Finger Pad Mechanics for Tactile Rendering}, booktitle = {IEEE World Haptics Conference}, year = {2015}, note = {

softhands, werahap

}, pages = {63-68}, address = {Chicago, USA, 22-25 June 2015}, abstract = {

The computation of skin forces and deformations for\ tactilerendering\ requires an accurate model of the extremely\ nonlinear\ behavior of the skin. In this work, we investigate the\ characterization\ of\ fingermechanics\ with the goal of designing accurate\ nonlinear\ models for\ tactilerendering. First, we describe a measurement setup that enables the acquisition of contact force and contact area in the context of controlled\ finger\ indentation experiments. Second, we describe an optimization procedure that estimates the parameters of strain-limiting deformation models that match best the acquired data. We show that the acquisition setup allows the measurement of force and area information with high repeatability, and the estimation method reaches\ nonlinear\ models that match the measured data with high accuracy.

}, keywords = {Haptics, Robotics}, doi = {10.1109/WHC.2015.7177692}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7177692}, author = {E. Miguel and M. L. D{\textquoteright}Angelo and F. Cannella and M. Bianchi and M Memeo and A. Bicchi and D. G. Caldwell and M. A. Otaduy} } @article {2339, title = {Design and Characterization of a Fabric-based Softness Display}, journal = {IEEE Transactions on Haptics}, volume = {8}, year = {2015}, 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), and by the EU FP7 project (no. 601165) {\textquotedblleft}WEARable HAPtics for Humans and Robots (WEARHAP){\textquotedblright}

}, pages = {152-163}, abstract = {

To enable a realistic tactile interaction with remote or virtual objects, softness information represents a fundamental property to be rendered via haptic devices. What is challenging is to reduce the complexity of such an information as it arises from contact mechanics and to find suitable simplifications that can lead an effective development of softness displays. A possible approach is to surrogate detailed tactile cues with information on the rate of spread of the contact area between the object and the finger as the contact force increases, i.e. force/area relation. This paradigm is called contact area spread rate. In this paper we discuss how such a paradigm has inspired the design of a tactile device (hereinafter referred to as Fabric Yielding Display, FYD-2), which exploits the elasticity of a fabric to mimic different levels of stiffness, while the contact area on the finger indenting the fabric is measured. In this manner, the FYD-2 can be controlled to reproduce force-area characteristics. In this work, we describe the FYD-2 architecture and report a psychophysical characterization. FYD-2 is shown to be able to accurately reproduce force-area curves of typical objects and to enable a reliable softness discrimination in human users.

}, keywords = {Haptics, Robotics}, doi = {10.1109/TOH.2015.2404353}, author = {M. Bianchi and A. Serio} } @conference {2560, title = {Design and Realization of the CUFF - Clenching Upper-Limb Force Feedback Wearable Device for Distributed Mechano-Tactile Stimulation of Normal and Tangential Skin Forces}, booktitle = {IEEE International Conference of Intelligent Robots and Systems - IROS2015}, year = {2015}, note = {

The authors want to thank Cosimo della Santina, Andrea Di Basco, Riccardo Persichini and Fabio Bonomo for their really valuable support in the development of the hardware prototype. 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), and by the EU FP7 project (no. 601165) {\textquotedblleft}WEARable HAPtics for Humans and Robots (WEARHAP)

}, pages = {1186 - 1193}, publisher = {IEEE}, organization = {IEEE}, address = {Hamburg, Germany, 28 Sept - 2 Oct 2015}, abstract = {

Rendering forces to the user is one of the main goals of haptic technology. While most force-feedback interfaces are robotic manipulators, attached to a fixed frame and designed to exert forces on the users while being moved, more recent haptic research introduced two novel important ideas. On one side, cutaneous stimulation aims at rendering haptic stimuli at the level of the skin, with a distributed, rather than, concentrated approach. On the other side, wearable haptics focuses on highly portable and mobile devices, which can be carried and worn by the user as the haptic equivalent of an mp3 player. This paper presents a light and simple wearable device (CUFF) for the distributed mechano-tactile stimulation of the user{\textquoteright}s arm skin with pressure and stretch cues, related to normal and tangential forces, respectively. The working principle and the mechanical and control implementation of the CUFF device are presented. Then, after a basic functional validation, a first application of the device is shown, where it is used to render the grasping force of a robotic hand (the Pisa/IIT SoftHand). Preliminary results show that the device is capable to deliver in a reliable manner grasping force information, thus eliciting a good softness discrimination in users and enhancing the overall grasping experience.

}, keywords = {Robotics}, doi = {10.1109/IROS.2015.7353520}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7353520\&newsearch=true\&queryText=Design\%20and\%20Realization\%20of\%20the\%20CUFF\%20-\%20Clenching\%20Upper-Limb\%20Force\%20Feedback\%20Wearable\%20Device\%20for\%20Distributed\%20Mechano-Tactile\%20Stimulatio}, author = {S. Casini and M. Morvidoni and M. Bianchi and M. G. Catalano and G. Grioli 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 {2453, title = {A Novel Tactile Display for Softness and Texture Rendering in Tele-Operation Tasks}, booktitle = { IEEE World Haptics Conference}, year = {2015}, 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, and by the EU FP7 project (no. 601165), {\textquotedblleft}WEARable HAPtics for Humans and Robots (WEARHAP){\textquotedblright}

}, pages = {49-56}, publisher = {IEEE}, organization = {IEEE}, address = {Chicago, USA, 22-25 June 2015}, abstract = {

Softness\ and\ texture\ high-frequency information represent fundamental haptic properties for every day life activities and environment tactual exploration. While several\ displays\ have been produced to convey either\ softness\ or high-frequency information, there is no or little evidence of systems that are able to reproduce both these properties in an integrated fashion. This aspect is especially crucial in medical\ tele-operated procedures, where roughness and stiffness of human tissues are both important to correctly identify given pathologies through palpation (e.g. in\ tele-dermatology). This work presents a fabric yielding\ display\ (FYD-pad), a fabric-based\ tactiledisplay\ for\ softness\ and\ texturerendering. The system exploits the control of two motors to modify both the stretching state of the elastic fabric forsoftnessrendering\ and to convey\ texture\ information on the basis of accelerometer-based data. At the same time, the measurement of the contact area can be used to control remote or virtual robots. In this paper, we discuss the architecture of FYD-pad and the techniques used for\ softness\ and\ texturereproduction as well as for synthesizing probe-surface interactions from real data.\ Tele-operationexamples and preliminary experiments with humans are reported, which show the effectiveness of the device in delivering both\ softness\ and\ texture\ information.

}, keywords = {Haptics, Robotics}, doi = {10.1109/WHC.2015.7177690}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7177690}, author = {M. Bianchi and M. Poggiani and A. Serio and A. Bicchi} } @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} } @conference {2082, title = {Design and preliminary affective characterization of a novel fabric-based tactile display}, booktitle = {Haptics Symposium (HAPTICS), 2014 IEEE}, year = {2014}, pages = { 591 - 596}, address = {Houston, TX}, keywords = {Haptics, Robotics}, doi = {10.1109/HAPTICS.2014.6775522}, author = {M. Bianchi and G. Valenza and A. Serio and A Lanata and L. Greco and M. Nardelli 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 {2081, title = {Exploring haptic feedback for the Pisa/IIT SoftHand}, booktitle = {Haptics Symposium (HAPTICS), 2014 IEEE}, year = {2014}, address = {Houston, TX}, keywords = {Haptics, Robotics}, doi = {10.1109/HAPTICS.2014.6775572}, author = {S. B. Godfrey and A. Ajoudani and M. Bianchi and M. G. Catalano and G. Grioli and A. Bicchi} } @article {1668, title = {Exploring Teleimpedance and Tactile Feedback for Intuitive Control of the Pisa/IIT SoftHand}, journal = { IEEE Transactions on Haptics}, volume = {7}, year = {2014}, pages = {203 - 215}, keywords = {Haptics, Robotics}, doi = {10.1109/TOH.2014.2309142 }, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6755554}, author = {A. Ajoudani and S. B. Godfrey and M. G. Catalano and M. Bianchi and G. Grioli and N G Tsagarakis and A. Bicchi} } @inbook {2087, title = {A Fabric-based Approach for Softness Rendering}, booktitle = {Multisensory Softness: Perceived Compliance from Multiple Sources of Information}, volume = {Springer Series on Touch and Haptic Systems}, year = {2014}, pages = {219 - 240}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, chapter = {11}, abstract = {

In this chapter we describe a softness display based on the contact area spread rate (CASR) paradigm. This device uses a stretchable fabric as a substrate that can be touched by users, while contact area is directly measured via an optical system. By varying the stretching state of the fabric, different stiffness values can be conveyed to users. We describe a first technological implementation of the display and compare its performance in rendering various levels of stiffness with the one exhibited by a pneumatic CASR-based device. Psychophysical experiments are reported and discussed. Afterwards, we present a new technological implementation for the fabric-based display, with reduced dimensions and faster actuation, which enables rapid changes in the fabric stretching state. These changes are mandatory to properly track typical force/area curves of real materials. System performance in mimicking force-area curves obtained from real objects exhibits a high degree of reliability, also in eliciting overall discriminable levels of softness.

}, keywords = {Haptics, Robotics}, issn = {978-1-4471-6532-3}, doi = {10.1007/978-1-4471-6533-0_11}, url = {http://link.springer.com/chapter/10.1007\%2F978-1-4471-6533-0_11}, author = {M. Bianchi and A. Serio and E. P. Scilingo and A. Bicchi} } @conference {2084, title = {The tactile toolbox}, booktitle = {Haptics Symposium (HAPTICS), 2014 IEEE}, year = {2014}, address = {Houston, TX}, keywords = {Haptics, Robotics}, doi = {10.1109/HAPTICS.2014.6775573}, author = {A. Serio and M. Bianchi and M Gabiccini and A. Bicchi} } @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 {2307, title = { Three-digit grasp haptic device with variable contact stiffness for rehabilitation and human grasping studies}, booktitle = {22nd Mediterranean Conference of Control and Automation (MED) 2014 }, year = {2014}, pages = {346 - 350}, publisher = {IEEE}, organization = {IEEE}, address = {Palermo, Italy, 16-19 June 2014 }, abstract = {

This paper describes an haptic system designed to vary the stiffness of three contact points in an independent and controllable fashion, by suitably regulating the inner pressure of three pneumatic tactile displays. At the same time, the contact forces exerted by the user are measured by six degree-of-freedom force sensors placed under each finger. This device might be profitably used in hand rehabilitation and human grasping studies. We report and discuss preliminary results on device validation as well as some illustrative measurement examples.

}, keywords = {Haptics, Robotics}, doi = {10.1109/MED.2014.6961395}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6961395}, author = {Altobelli, A and M. Bianchi and A. Serio and Baud-Bovy, G and M Gabiccini and A. Bicchi} } @article {1234, title = {Characterization and Psychophysical Studies of an Air-Jet Lump Display}, journal = {Transactions on Haptics}, year = {2013}, pages = {156 - 166}, keywords = {Robotics}, doi = {10.1109/TOH.2012.71 }, author = {J.C Gwilliam and M. Bianchi and L. K. Su and A.M. Okamura} } @conference {1941, title = {A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, year = {2013}, pages = {3738 - 3745}, address = {Tokyo, Japan}, keywords = {Haptics, Robotics}, doi = {10.1109/IROS.2013.6696890 }, author = {M Gabiccini and G. Stillfried and H. Marino and M. Bianchi} } @conference {1705, title = {A Device for Mimicking the Contact Force/Contact Area Relationship of Different Materials with Applications to Softness Rendering}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2013}, year = {2013}, month = {November 3-7}, pages = {4484 - 4490 }, address = {Tokyo, Japan}, keywords = {Robotics}, doi = {10.1109/IROS.2013.6697001 }, author = {A. Serio and M. Bianchi 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} } @inbook {1237, title = {Artificially Rendered Cutaneous Cues for a New Generation of Haptic Displays}, booktitle = {Springer Series on Touch and Haptic Systems - part 2}, volume = {Immersive Multimodal Interactive Presence}, year = {2012}, pages = {171 - 188}, publisher = {Springer}, organization = {Springer}, keywords = {Robotics}, doi = {10.1007/978-1-4471-2754-3_10}, author = {E. P. Scilingo and M. Bianchi and N. Vanello and V. Hartwig and L. Landini and A. Bicchi} } @conference {GDBO12, title = {Design and Control of an Air-Jet Lump Display}, booktitle = {Haptics Symposium}, year = {2012}, month = {March 4 - 7}, pages = {45 - 49}, address = {Vancouver, Canada}, keywords = {Robotics}, author = {J.C Gwilliam and A. Degirmenci and M. Bianchi and A.M. Okamura} } @mastersthesis {1429, title = {On the Role of Haptic Synergies in Modelling the Sense of Touch and in Designing Artificial Haptic Systems}, year = {2012}, keywords = {Haptics, Robotics}, author = {M. Bianchi} } @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 {BSTCB12, title = {On the Use of Postural Synergies to Improve Human Hand Pose Reconstruction}, booktitle = {Haptics Symposium}, year = {2012}, month = {March 4 - 7}, pages = {91 - 98}, address = {Vancouver, Canada}, keywords = {Haptics, Robotics}, author = {M. Bianchi and P Salaris and A. Turco and N. Carbonaro and A. Bicchi} } @conference {BGDO11, title = {Characterization of an Air Jet Haptic Lump Display}, booktitle = {33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011)}, year = {2011}, pages = {3467-3470}, keywords = {Haptics, Robotics}, author = {M. Bianchi and J.C Gwilliam and A. Degirmenci and A.M. Okamura} } @conference {BSB11, title = {Haptic interfaces: new strategies to convey tactile information}, booktitle = {Automatica.it 2011}, year = {2011}, note = {

poster presentation

}, month = {September, 7 - 9}, address = {Pisa, Italy}, keywords = {Haptics, Robotics}, author = {M. Bianchi and E. P. Scilingo and A. Bicchi} } @conference {BSSB, title = {A new fabric based softness display}, booktitle = {Symposium on Haptic Interfaces for Virtual Environments and Teleoperator Systems}, year = {2010}, note = {

Best Student Paper and Best Paper Award Finalist

}, month = {March 25-16}, pages = {108 - 112}, address = {Waltham,Massachusetts, USA}, keywords = {Haptics, Robotics}, author = {M. Bianchi and A. Serio and E. P. Scilingo and A. Bicchi} } @article {SBGBB10, title = {Rendering Softness: Integration of kinaesthetic and cutaneous information in a haptic device}, journal = {Transactions on Haptics}, volume = {3}, number = {2}, year = {2010}, note = {

Best Student Paper and Best Paper Award Finalist

}, pages = {109 - 118}, keywords = {Haptics, Robotics}, author = {E. P. Scilingo and M. Bianchi and G. Grioli and A. Bicchi} } @conference {BGSSB, title = {Validation of a Virtual Reality Environment to Study Anticipatory Modulation of Digit Forces and Position}, booktitle = {Eurohaptics 2010}, series = {Lecture Notes in Computer Science}, volume = {6192/2010}, year = {2010}, month = {July, 8 - 10}, pages = {136 - 143}, address = {Amsterdam (The Netherlands)}, keywords = {Haptics, Robotics}, author = {M. Bianchi and G. Grioli and E. P. Scilingo and M. Santello and A. Bicchi} } @conference {BSSB09, title = {A new softness display based on bi-elastic fabric}, booktitle = {World Haptics}, year = {2009}, note = {

poster presentation

}, month = {March, 18 - 20}, pages = {382 - 383}, address = {Salt Lake City, USA}, abstract = {

Haptic perception allows to explore and recognize an object by conveying several physical information to mechano-receptors and thermo-receptors lying into our skin throughout the body. The term

}, keywords = {Haptics, Robotics}, author = {M. Bianchi and A. Serio and E. P. Scilingo and A. Bicchi} } @conference {BSSB, title = {Rendering softness: a new fabric yielding display}, booktitle = {Workshop for young researchers on human - friendly robotics - Symposium}, year = {2009}, month = {December 3}, address = {Sestri levante (Ge), Italy}, keywords = {Haptics, Robotics}, author = {M. Bianchi and A. Serio and E. P. Scilingo and A. Bicchi} }