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Alfredo Cuzzocrea, Enzo Mumolo and Giorgio Mario Grasso
In this paper we describe a novel algorithm, inspired by the mirror neuron discovery, to support automatic learning oriented to advanced man-machine interfaces. The algorithm introduces several points of innovation, based on complex metrics of similarity...
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Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Stefano Dafarra, Gabriele Nava, Claudia Latella and Daniele Pucci
This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented is m...
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Hai Van Pham, Farzin Asadi, Nurettin Abut and Ismet Kandilli
Robotics is a highly developed field in industry, and there is a large research effort in terms of humanoid robotics, including the development of multi-functional empathetic robots as human companions. An important function of a robot is to find an opti...
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Nicole Lazzeri, Daniele Mazzei, Lorenzo Cominelli, Antonio Cisternino and Danilo Emilio De Rossi
Humans have an innate tendency to anthropomorphize surrounding entities and have always been fascinated by the creation of machines endowed with human-inspired capabilities and traits. In the last few decades, this has become a reality with enormous adva...
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