Alle Publikationen
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2019
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(2019) : Robots in Need: Acquiring Assistance with Emotion: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Daegu, Korea: IEEE, S. 706-708
DOI: https://doi.org/10.1109/HRI.2019.8673081 Abstract: There will always be occasions where robots require assistance from humans. Understanding what motivates people to help a robot, and what effect this interaction has on an individual will be essential in successfully integrating robots into our society. Emotions are important in motivating prosocial behavior between people, and therefore may also play a large role in human-robot interaction. This research explores the role of emotion in motivating people to help a robot and some of the ethical issues that arise as a result, with the ultimate aim of developing suitable methods for robots to interact with humans to acquire assistance.
2008
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(2008) : Can I be of assistance? The intelligence behind an assistive robot: 2008 IEEE International Conference on Robotics and Automation: 2008 IEEE International Conference on Robotics and Automation: Pasadena, CA, USA: IEEE, S. 3564-3569
DOI: https://doi.org/10.1109/ROBOT.2008.4543756 Abstract: The social interaction, guidance and support that a socially assistive robot can provide a person can be very beneficial to patient-centered care. However, there are a number of conundrums that must be addressed in designing such a robot. This work addresses two main limitations in the development of intelligent task-driven socially assistive robots: (i) recognition and identification of human gesticulation as a source of determining the affective state of a person, and (ii) robotic control architecture design and implementation with explicit social and assistive task functionalities. In this paper, the development of a unique task-driven robotic system capable of quantitatively interpreting human body language and in turn, effectively responding via task-driven behavior during assistive social interaction is presented. In particular, a novel gesture identification and classification technique is proposed capable of interpreting human gestures as semantically meaningful commands for inputs into a multi-layer decision making control architecture. The learning-based control architecture is then utilized to determine the effective and appropriate assistive behavior of the robot.
2005
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(2005) : Face Recognition for Social Interaction with a Personal Robotic Assistant: EUROCON 2005 - The International Conference on "Computer as a Tool": EUROCON 2005 - The International Conference on "Computer as a Tool": Piscataway NJ: IEEE Operations Center, S. 382-385
DOI: https://doi.org/10.1109/EURCON.2005.1629942 Abstract: This paper describes the main characteristics of a "social interactive" robot for which social human-robot interaction is important. The main goal of this work is the development of a robotic assistant (called SIRA) for elderly which serves several primary functions such us telepresence, tele-medicine, intelligent reminding, safeguarding, mobility assistance and social interaction. We focus our attention in to equip an intelligent robot assistant with a robust user-machine interface, which enable this robot to communicate, interact, and collaborate with human users in a natural and intuitive way. The social interaction module developed is commented and finally, an application of the social interaction is explained
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