@article {3642, title = {Relaying the High-Frequency Contents of TactileFeedback to Robotic Prosthesis Users: Design,Filtering, Implementation, and Validation}, journal = {IEEE Robotics and Automation Letters}, volume = {Volume: 4 , Issue: 2 , April 2019}, year = {2019}, month = {01/2019}, author = {S. Fani and K. Di Blasio and M. Bianchi and M. G. Catalano and G. Grioli and A. Bicchi} } @conference {2889, title = {Robust Optimization of System Compliance for Physical Interaction in Uncertain Scenarios}, booktitle = {IEEE International Conference on Humanoid Robots (HUMANOIDS2016)}, year = {2016}, note = {
This work was supported by the European Commission projects (FP7 framework) Walk-Man and the European Commission Grant no. H2020- ICT-645599 {\textquotedblleft}SOMA{\textquotedblright}: SOft MAnipulation
}, publisher = {IEEE}, organization = {IEEE}, address = {Cancun, Mexico, 15-17 Nov. 2016 }, abstract = {

Compliance in robot design and control is often introduced to improve the robot performance in tasks where interaction with environment or human is required. However a rigorous method to choose the correct level of compliance is still not available. In this work we use robust optimization as a tool to select the optimal compliance value in a robotenvironment interaction scenario under uncertainties. We propose an approach that can be profitably applied on a variety of tasks, e.g.manipulation tasks or locomotion tasks. The aim is to minimize the forces of interaction considering model constraints and uncertainties. Numerical results show that: i) in case of perfect knowledge of the environment stiff robots behave better in terms of force minimization, ii) in case of uncertainties the optimal stiffness of the robot is lower than the previous case and optimal solutions provide a faster task accomplishment, iii) the optimal stiffness decreases as a function of the uncertainty measure. Experiments are carried out in a realistic set-up in case of bi-manual object handover.

}, keywords = {Robotics}, isbn = {978-1-5090-4718-5 }, doi = { 10.1109/HUMANOIDS.2016.7803381}, url = {http://ieeexplore.ieee.org/document/7803381/}, author = {Gasparri, G. M. and F. Fabiani and M. Garabini and L. Pallottino and M. G. Catalano and G. Grioli and R. Persichini and A. Bicchi} } @conference {1436, title = {A real time robust observer for an agonist antagonist variable stiffness actuator}, booktitle = {IEEE International Conference on Robotics and Automation (ICRA2013)}, year = {2013}, note = {

Best Paper Award Finalist

}, pages = {3988 - 3993}, address = {Karlsruhe, Germany, May 6-10, 2013 }, keywords = {Robotics}, url = {10.1109/ICRA.2013.6631139 }, author = {T. Menard and G. Grioli and A. Bicchi} } @conference {GB11, title = {A Real-time Parametric Stiffness Observer for VSA devices}, booktitle = {2011 IEEE International Conference on Robotics and Automation}, year = {2011}, month = {May 9 - 13}, pages = {5535 - 5540}, address = {Shangai, China}, keywords = {Robotics}, author = {G. Grioli 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 {ACBBGSFB-IROS09, title = {A Rough-Terrain, Casting Robot for the ESA Lunar Robotics Challenge}, booktitle = {Proc. IEEE/RSJ International Conference on Intelligent RObots and Systems}, year = {2009}, month = {October, 11 - 15}, pages = {3336-3342}, address = {St. Louis MO USA}, abstract = {

This paper describes the design and implementation of DAVID, a lunar vehicle developed for the European Space Agency (ESA) Lunar Robotics Challenge, presenting severe terrain negotiation and sample acquisition challenges. We discuss in some detail two of the main innovative aspects of our entry to the challenge, i.e. the locomotion system and the sample acquisition system. Motivated by the challenge specifications, a range of different locomotion systems were considered, among which we chose a simple, rugged and effective wheeled system. We provide an account of the choice of five different types of wheels, which were designed, analyzed and experimentally tested in conditions similar to the challenge. The system eventually turned out to be very effective in negotiating 89\% slopes of volcanic terrain on the challenge site, Mount Teide in Tenerife. To reduce the distance to be traveled on the difficult terrain and avoid risks in reaching the lowest parts of a crater, the vehicle was endowed with an innovative sample acquisition system, i.e. a casting manipulator. Casting manipulation is a technique in which the end-effector is thrown, the sample material is acquired, and the end-effector is retrieved using a light tether that acts as a

}, keywords = {Robotics}, author = {S. Alicino and M. G. Catalano and F. Bonomo and F. A. W. Belo and G. Grioli and R. Schiavi and A. Fagiolini and A. Bicchi} }