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Designing the Mind of a Social Robot

Nicole Lazzeri, Daniele Mazzei, Lorenzo Cominelli, Antonio Cisternino, Danilo Emilio De Rossi

Year
2018
Citations
40
Access
Open access

Abstract

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 advances in hardware performance, computer graphics, robotics technology, and artificial intelligence. New interdisciplinary research fields have brought forth cognitive robotics aimed at building a new generation of control systems and providing robots with social, empathetic and affective capabilities. This paper presents the design, implementation, and test of a human-inspired cognitive architecture for social robots. State-of-the-art design approaches and methods are thoroughly analyzed and discussed, cases where the developed system has been successfully used are reported. The tests demonstrated the system’s ability to endow a social humanoid robot with human social behaviors and with in-silico robotic emotions.

Keywords

Social intelligenceCognitive roboticsRobotArtificial intelligenceHuman–computer interactionRoboticsComputer scienceCognitive architectureSocial robotArtificial intelligence, situated approach

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