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Auflistung nach Schlagwort "Human-robot interaction"

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  • Zeitschriftenartikel
    Grounding the Interaction: Knowledge Management for Interactive Robots
    (KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Lemaignan, Séverin
    The dissertation tackles the broad question of knowledge representation and manipulation for companion robots. It first builds a taxonomy of the knowledge manipulation skills required by service robots, then proposes a novel active knowledge base that integrates into large cognitive architectures, and finally explores several applications, including natural language grounding.
  • Zeitschriftenartikel
    Human-Robot Body Experience: An Artificial Intelligence Perspective
    (KI - Künstliche Intelligenz: Vol. 36, No. 0, 2022) Beckerle, Philipp
    Human body experience is remarkably flexible, which enables us to integrate passive tools as well as intelligent robotic devices into our body representation. Accordingly, it can serve as a role model to make (assistive) robots interact seamlessly with their users or to provide (humanoid) robots with a human-like self-perception and behavior generation. This article discusses the potential of understanding human body experience and applying it to robotics. Particular focus is set on how to use artificial intelligence techniques and create intelligent artificial agents from insights about human body experience. The discussion is based on a summary of the author’s habilitation thesis and combines theoretical and experimental perspectives from psychology, cognitive science and neuroscience as well as computer science, engineering, and artificial intelligence. From this, it derives directions for future developments towards creating artificial body intelligence with human-like capabilities.
  • Zeitschriftenartikel
    Integrating Qualitative Reasoning and Human-Robot Interaction in Domestic Service Robotics
    (KI - Künstliche Intelligenz: Vol. 30, No. 0, 2016) Schiffer, Stefan
    In this paper we discuss a system layout for cognitive service robots and our implementation of such a system. Our focus is on integrating qualitative reasoning and human-robot interaction. After introducing the domestic service robotics domain with its challenges and the RoboCup@Home initiative we present our robot platform, its basic capabilities and its high-level reasoning system. Then, we discuss a system layout for a cognitive service robot in domestic domains, and we show how components of our service robot implement elements of such a system layout. We discuss strengths and limitations of these components and of the overall system.
  • Konferenzbeitrag
    It’s in Your Eyes: Which Facial Design is Best Suited to Let a Robot Express Emotions?
    (Mensch und Computer 2019 - Tagungsband, 2019) Pollmann, Kathrin; Tagalidou, Nektaria; Fronemann, Nora
    It has been shown that emotional expressiveness makes robots appear more lifelike and believable. However, the facial design of commercially available robots is currently often not sufficient to convey emotions. We developed five facial design variants for a humanoid robot which can be used to display basic emotions (happiness, anger, sadness, fear) using different cartoon-inspired design approaches. These design variants were put on the head of the Pepper robot in cartoon-style drawings and tested in a quantitative user study. The findings indicate that the design approach of presenting the eyes on a large display and omitting the mouth is best suited to convey emotions, especially happiness and anger. Future work will improve the designs for sadness and fear, develop new designs for additional emotions and further investigate the role of the mouth design for emotional expressiveness of the robot.
  • Zeitschriftenartikel
    Planning in Inhabited Environments
    (KI - Künstliche Intelligenz: Vol. 25, No. 4, 2011) Cirillo, Marcello
    Our work addresses issues related to the cohabitation of service robots and people in unstructured environments. We propose new planning techniques to empower robot means-end reasoning with the capability of taking into account human intentions and preferences. We also address the problem of human activity recognition in instrumented environments. We employ a constraint-based approach to realize a continuous inference process to attach a meaning to sensor traces as detected by sensors distributed in the environment.
  • Konferenzbeitrag
    Robot Personality Insights. Designing Suitable Robot Personalities for Different Domains
    (i-com: Vol. 16, No. 1, 2017) Ullrich, Daniel
    With the development of social robots that are primarily designed for interacting with humans, particular facets of interaction need to be explored. One of them is the manifestation of robot personalities, which have the potential to raise acceptance and enhance user experience if done appropriate – or ruin both if done wrong.The present paper argues for the relevance of suitable robot personalities and discusses the factors that affect suitability, in particular interaction domain and personal preferences.An experiment () with four different interaction scenarios (goal- and experience oriented) and three robot personalities (positive, neutral, negative) was performed to explore effects of personality and domain on personality suitability and acceptance. Results indicate that users can differentiate between different robot personalities and evaluate accordingly. In a goal-oriented stressful situation (train-ticket purchase under time pressure) the neutral personality was rated best. In experience-oriented scenarios, the positive robot personality was preferred. In the context of strictly performance oriented tasks, the effect of robot personality seems to be insignificant. Personal preferences for personalities seem to be influential, however, no clear pattern could be found.Lastly, directions for future research are depicted and implications for researchers and designers are discussed.
  • Zeitschriftenartikel
    Symbol Grounding as Social, Situated Construction of Meaning in Human-Robot Interaction
    (KI - Künstliche Intelligenz: Vol. 27, No. 2, 2013) Kruijff, Geert-Jan M.
    The paper views the issue of “symbol grounding” from the viewpoint of the construction of meaning between humans and robots, in the context of a collaborative activity. This concerns a core aspect of the formation of common ground: The construction of meaning between actors as a conceptual representation which is believed to be mutually understood as referring to a particular aspect of reality. The problem in this construction is that experience is inherently subjective—and more specifically, humans and robots experience and understand reality fundamentally differently. There is an inherent asymmetry between the actors involved. The paper focuses on how this asymmetry can be reflected logically, and particularly in the underlying model theory. The point is to make it possible for a robot to reason explicitly both about such asymmetry in understanding, consider possibilities for alignment to deal with it, and establish (from its viewpoint) a level of intersubjective or mutual understanding. Key to the approach taken in the paper is to consider conceptual representations to be formulas over propositions which are based in proofs, as reasoned explanations of experience. This shifts the focus from a notion of “truth” to a notion of judgment—judgments which can be subjectively right and still intersubjectively wrong (faultless disagreement), and which can evolve over time (updates, revision). The result is an approach which accommodates both asymmetric agency and social sentience, modelling symbol grounding in human-robot interaction as social, situated construction over time.