Elenco Pubblicazioni - Publications (1524)
Zambella Grazia, et al. "Dynamic whole-body control of unstable wheeled humanoid robots." IEEE Robotics and Automation Letters 4.4 (2019): 3489-3496.
Written by GRAZIA ZAMBELLA
Control of two-wheeled humanoid robots poses several challenges due to the unstable dynamics of their mobile base and the coupling between the upper and lower body dynamics. The problem is often faced in the literature…
Mura, D., Knoop, E., Catalano, M. G., Grioli, G., Bächer, M., & Bicchi, A. (2020). On the role of stiffness and synchronization in human–robot handshaking. The International Journal of Robotics Research.
Written by Domenico Mura
This article presents a system for soft human–robot handshaking, using a soft robot hand in conjunction with a lightweight and impedance-controlled robot arm. Using this system, we study how different factors influence the perceived naturalness,…
L. Fiaschi, M. Cococcioni. Numerical Asymptotic Results in Game Theory Using Sergeyev’s Infinity Computing, International Journal of Unconventional Computing (IJUC), pp. 1-25(1) 2018.
Written by LORENZO FIASCHI
ABSTRACT Prisoner's Dilemma (PD) is a widely studied game that plays an important role in Game Theory. This paper aims at extending PD Tournaments to the case of infinite, finite or infinitesimal payoffs using Sergeyev's…
L. Fiaschi, M. Cococcioni. Generalizing Pure and Impure Iterated Prisoner's Dilemmas to the Case of Infinite and Infinitesimal Quantities, In Numerical Computations: Theory and Algorithms, pages 370–377, Cham, 2020. Springer Intern. Publishing
Written by LORENZO FIASCHI
ABSTRACT In this work we aim at generalizing Pure and Impure PD iterated games when using finite/infinite/infinitesimal payoffs and finite/infinitesimal probabilities, i.e., dealing with non-Archimedean quantities (realm so far investigated only on the theoretical side).…
M. Cococcioni, F. Rossi, E. Ruffaldi, and S. Saponara. "A fast approximation of the hyperbolic tangent when using posit numbers and its application to deep neural networks", (ApplePies’19), 2019.
Written by FEDERICO ROSSI
Deep Neural Networks (DNNs) are being used in more and more fields. Among the others, automotive is a field where deep neural networks are being exploited the most. An important aspect to be considered is…
