Alle Publikationen
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2014
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(2014): A Framework for User-Defined Body Gestures to Control a Humanoid Robot. In: International Journal of Social Robotics 6 (3), S. 383-396. DOI: 10.1007/s12369-014-0233-3
Abstract: This paper presents a framework that allows users to interact with and navigate a humanoid robot using body gestures. The first part of the paper describes a study to define intuitive gestures for eleven navigational commands based on analyzing 385 gestures performed by 35 participants. From the study results, we present a taxonomy of the user-defined gesture sets, agreement scores for the gesture sets, and time performances of the gesture motions. The second part of the paper presents a full body interaction system for recognizing the user-defined gestures. We evaluate the system by recruiting 22 participants to test for the accuracy of the proposed system. The results show that most of the defined gestures can be successfully recognized with a precision between 86100 % and an accuracy between 7396 %. We discuss the limitations of the system and present future work improvements.
2012
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(2012) : Emotions in Robots In: Chowdhry, Bhawani Shankar; Shaikh, Faisal Karim; Akbar Hussain, Dil Muhammad; Aslam Uqaili, Muhammad (Hg.): Emerging Trends and Applications in Information Communication Technologies: Second International Conference, IMTIC 2012, Jamshoro, Pakistan, March 28-30, 2012. Proceedings, 281: New York: Springer (Communications in Computer and Information Science Ser), S. 144-153
2008
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(2008) : Typification-based ethics for artificial agents: 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies: Phitsanulok, Thailand: IEEE, S. 482-491
DOI: https://doi.org/10.1109/DEST.2008.4635149 Abstract: A digital ecosystem has to deal with the notion of responsibility with respect to some of its entities, including artefacts. Autonomous artificial agents have given rise to the study of the possibility that these agents have ethical aspects. This paper introduces a conceptual framework for ethical situations that involve artificial agents such as robots. Specifically, we focus on how ethical rules should be applied in reference to artificial agents in order for them to act correctly when facing ethical situations. We typify these situations in order to facilitate ethical evaluations. This typification involves classifications of ethical agents and patients according to whether they are human beings, human-based organizations, or non-human beings, and in reference to ethical evaluations of each of these entities. The resultant methodology is applied to Asimovpsilas ldquoLaws of Robotics.
Keywords: Artificial agent, artificial agents, Asimov’s Laws, Biological system modeling, control engineering computing, digital ecosystem, Ecosystems, ethical agent, ethical aspect, ethical aspects, ethical evaluation, ethical rule, Ethics, Humans, ieee xplore, Moral & Ethik, ORGANIZATIONS, Robot, Robot sensing systems, Robots, Software agents, typification-based ethics -
(2008) : IslEnquirer: Social user model acquisition through network analysis and interactive learning: 2008 IEEE Spoken Language Technology Workshop: Goa, India: IEEE, S. 117-120
DOI: https://doi.org/10.1109/SLT.2008.4777854 Abstract: We present an approach to introduce social awareness in interactive systems. The IslEnquirer is a system which automatically builds social user models. It initializes the models by social network analysis of available offline data. These models are then verified and extended by interactive learning which is carried out by a robot initiated spoken dialog with the user.
Keywords: Automatic speech recognition, Automation, Cognitive robotics, Context modeling, Data Mining, Humanoid Robots, Humans, ieee xplore, Information retrieval, interactive learning, interactive system, interactive systems, IslEnquirer, Künstliche Intelligenz, learning (artificial intelligence), Robot, Robotics, social awareness, social network analysis, Social network services, social networking (online), social networks, social user model acquisition, spoken dialog, spoken dialog system, user modeling, user modelling
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