@article {4079, title = {Exploring Stiffness Modulation in Prosthetic Hands and Its Perceived Function in Manipulation and Social Interaction.}, journal = {Frontiers in Neurorobotics}, volume = {14}, year = {2020}, month = {06/2020}, abstract = {

To physically interact with a rich variety of environments and to match situation-dependent requirements, humans adapt both the force and stiffness of their limbs. Reflecting this behavior in prostheses may promote a more natural and intuitive control and, consequently, improve prostheses acceptance in everyday life. This pilot study proposes a method to control a prosthetic robot hand and its impedance, and explores the utility of variable stiffness when performing activities of daily living and physical social interactions. The proposed method is capable of a simultaneous and proportional decoding of position and stiffness intentions from two surface electro-myographic sensors placed over a pair of antagonistic muscles. The feasibility of our approach is validated and compared to existing control modalities in a preliminary study involving one prosthesis user. The algorithm is implemented in a soft under-actuated prosthetic hand (SoftHand Pro). Then, we evaluate the usability of the proposed approach while executing a variety of tasks. Among these tasks, the user interacts with other 12 able-bodied subjects, whose experiences were also assessed. Several statistically significant aspects from the System Usability Scale indicate user{\textquoteright}s preference of variable stiffness control over low or high constant stiffness due to its reactivity and adaptability. Feedback reported by able-bodied subjects reveal a general tendency to favor soft interaction, i.e., low stiffness, which is perceived more human-like and comfortable. These combined results suggest the use of variable stiffness as a viable compromise between firm control and safe interaction which is worth investigating further.

}, keywords = {human-robot social interaction, impedance control, prosthetics, Soft robotics, task adaptability}, doi = {10.3389/fnbot.2020.00033}, url = {https://www.frontiersin.org/articles/10.3389/fnbot.2020.00033/full?\&utm_source=Email_to_authors_\&utm_medium=Email\&utm_content=T1_11.5e1_author\&utm_campaign=Email_publication\&field=\&journalName=Frontiers_in_Neurorobotics\&id=503842}, author = {Capsi-Morales, Patricia and C. Piazza and M. G. Catalano and A. Bicchi and G. Grioli} } @article {4081, title = {Exploring the Role of Palm Concavity and Adaptability in Soft Synergistic Robotic Hands}, journal = { IEEE Robotics and Automation Letters }, volume = {5}, year = {2020}, month = {17 June 2020}, pages = {4703 - 4710}, chapter = {4703}, abstract = {

Robotic hand engineers usually focus on finger capabilities, often disregarding the palm contribution. Inspired by human anatomy, this paper explores the advantages of including a flexible concave palm into the design of a robotic hand actuated by soft synergies. We analyse how the inclusion of an articulated palm improves finger workspace and manipulability. We propose a mechanical design of a modular palm with two elastic rolling-contact palmar joints, that can be integrated on the Pisa/IIT SoftHand, without introducing additional motors. With this prototype, we evaluate experimentally the grasping capabilities of a robotic palm. We compare its performance to that of the same robotic hand with the palm fixed, and to that of a human hand. To assess the effective grasp quality achieved by the three systems, we measure the contact area using paint-transfer patterns in different grasping actions. Preliminary grasping experiments show a closer resemblance of the soft-palm robotic hand to the human hand. Results evidence a higher adaptive capability and a larger involvement of all fingers in grasping.

}, keywords = {Ellipsoids, Grasping, Indexes, Kinematics, Robots, Shape, Thumb}, issn = { 2377-3766}, doi = {10.1109/LRA.2020.3003257}, url = {https://ieeexplore.ieee.org/document/9119822?source=authoralert}, author = {Capsi-Morales, Patricia and G. Grioli and C. Piazza and A. Bicchi and M. G. Catalano} } @article {3751, title = {Exploiting Adaptability in Soft Feet for Sensing Contact Forces}, journal = { IEEE Robotics and Automation Letters}, volume = {5}, year = {2019}, month = {11/2019}, chapter = {391}, doi = {https://doi.org/10.1109/LRA.2019.2952292}, url = {https://ieeexplore.ieee.org/document/8894422}, author = {D. Mura and C. Della Santina and C. Piazza and I. Frizza and C. Morandi and M. Garabini and G. Grioli and M. G. Catalano} } @article {3364, title = {Efficient Walking Gait Generation via Principal Component Representation of Optimal Trajectories: Application to a Planar Biped Robot With Elastic Joints}, journal = {IEEE Robotics and Automation Letters}, volume = {3}, year = {2018}, pages = {2299{\textendash}2306}, abstract = {

Recently, the method of choice to exploit robot dynamics for efficient walking is numerical optimization (NO). The main drawback in NO is the computational complexity, which strongly affects the time demand of the solution. Several strategies can be used to make the optimization more treatable and to efficiently describe the solution set. In this letter, we present an algorithm to encode effective walking references, generated offline via numerical optimization, extracting a limited number of principal components and using them as a basis of optimal motions. By combining these components, a good approximation of the optimal gaits can be generated at run time. The advantages of the presented approach are discussed, and an extensive experimental validation is carried out on a planar legged robot with elastic joints. The biped thus controlled is able to start and stop walking on a treadmill, and to control its speed dynamically as the treadmill speed changes.

}, author = {G M Gasparri and S. Manara and D. Caporale and G. Averta and M. Bonilla and H. Marino and M. G. Catalano and G. Grioli and M. Bianchi and A. Bicchi and M. Garabini} } @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} } @conference {3220, title = {Estimating Contact Forces from Postural Measures in a class of Under-Actuated Robotic Hands}, booktitle = {IEEE International Conference of Intelligent Robots and Systems (IROS2017)}, year = {2017}, publisher = {IEEE}, organization = {IEEE}, address = {Vancouver, Canada, September 24{\textendash}28, 2017}, keywords = {Robotics}, author = {C. Della Santina and C. Piazza and G. Santaera and G. Grioli and M. G. Catalano and A. Bicchi} } @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} }