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  • 2017

  • Zaraki, Abolfazl; Pieroni, Michael; Rossi, Danilo de; Mazzei, Daniele; Garofalo, Roberto; Cominelli, Lorenzo; Dehkordi, Maryam Banitalebi (2017): Design and Evaluation of a Unique Social Perception System for Human–Robot Interaction. In: IEEE Transactions on Cognitive and Developmental Systems 9 (4), S. 341-355. DOI: 10.1109/TCDS.2016.2598423

    Abstract: Robot's perception is essential for performing high-level tasks such as understanding, learning, and in general, human-robot interaction (HRI). For this reason, different perception systems have been proposed for different robotic platforms in order to detect high-level features such as facial expressions and body gestures. However, due to the variety of robotics software architectures and hardware platforms, these highly customized solutions are hardly interchangeable and adaptable to different HRI contexts. In addition, most of the developed systems have one issue in common: they detect features without awareness of the real-world contexts (e.g., detection of environmental sound assuming that it belongs to a person who is speaking, or treating a face printed on a sheet of paper as belonging to a real subject). This paper presents a novel social perception system (SPS) that has been designed to address the previous issues. SPS is an out-ofthe- box system that can be integrated into different robotic platforms irrespective of hardware and software specifications. SPS detects, tracks, and delivers in real-time to robots, a wide range of human-and environment-relevant features with the awareness of their real-world contexts. We tested SPS in a typical scenario of HRI for the following purposes: to demonstrate the system capability in detecting several high-level perceptual features as well as to test the system capability to be integrated into different robotics platforms. Results show the promising capability of the system in perceiving real world in different social robotics platforms, as tested in two humanoid robots, i.e., FACE and ZENO.

    Keywords: Design, Disziplin, Fähigkeit, das Gesicht eines Menschen von einem Poster im Hintergrund zu unterscheiden, Fähigkeit, Hintergrundgeräusche von einer Stimme zu unterscheiden, Fähigkeit, menschliche Anwesenheit zu erkennen, Fähigkeit, Relevantes von Irrelevantem zu unterscheiden, Favoriten, Ingenieurswissenschaft, Intelligenz, Mensch oder Maschine, Mensch-Technik-Relationen (MTR), Realtechnik, Social Perception System (SPS), Sozial Intelligente Agenten, Soziale Robotik, Soziosensitive Systeme, Technik, Technische Modelle/Frameworks/Algorithmen

  • 2011

  • Li, Haizhou; Cabibihan, John-John; Tan, Yeow Kee (2011): Towards an Effective Design of Social Robots. In: International Journal of Social Robotics 3 (4), S. 333-335. DOI: 10.1007/s12369-011-0121-z

    Abstract: In the past decade, we have witnessed an intensive progress of technology spurred on by community initiatives. The guest editors had its first meeting in 2010 to find that it was timely for the community to collectively document the recent advances in social robotics through a special issue in the International Journal of Social Robotics. This special issue presents various designs for social robots in order to make them more effective and natural for human-robot interactions. Social robots are autonomous robots that are able to interact and communicate among themselves, with humans, and with the environment and are designed to operate according to the established social and cultural norms. The main requirement for such robots is intelligence, which forms the basis of human-robot interaction. Many design requirements should be considered for social robots. Among these are the abilities to: 1. recognize the presence of a human through its senses such as vision, touch and sound; 2. engage in physical acknowledgment such as holding or touching; 3. use physical motions and gestures; 4. express and/or perceive emotions and 5. engage in a conversation. This special issue addresses various challenges in the design of social robots, which can be used in a variety of applications, such as research platforms, toys and games, educational tools, and therapeutic aids.

    Keywords: Ausdrücken und Erkennen von Emotion, Design, Disziplin, Emotionserkennung, Fähigkeit zu physischer Rückmeldung (Berührung etc.), Fähigkeit, eine Konversation zu führen, Fähigkeit, menschliche Anwesenheit zu erkennen, Gestische und mobile Fähigkeiten, Ingenieurswissenschaft, Intelligenz, Interaktionspartner, Mensch oder Maschine, Mensch-Technik-Relationen (MTR), Realtechnik, Sozial Intelligente Agenten, Soziale Robotik, Technik
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