Alle Publikationen
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2016
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(2016) : Mobile robot navigation for human-robot social interaction: 2016 16th International Conference on Control, Automation and Systems (ICCAS): Gyeongju, Korea: IEEE, S. 1298-1303
DOI: https://doi.org/10.1109/ICCAS.2016.7832481 Abstract: Human social interactions are believed to be described by a mathematical model called the Social Force Model (SFM). A variety of mobile robot research has often used the SFM to generate an appropriate navigation behavior. However, to create a mobile robot that moves around in a human-populated environment in a socially acceptable way, it should be stressed that the social conventions are strictly obeyed. This paper proposes an extended SFM between humans and robots, called the Social Relationship Model (SRM), to enable mobile robots to generate navigation paths in a human-like manner. Simulation results show notable advantages of SRM over the Transition based Rapidly Random Tree (T-RRT) path planning algorithm. The proposed method ensures a socially acceptable robot path, one of the most important issues for human-robot symbiosis.
Keywords: Angemessen(heit) (von Technik), Collision avoidance, Force, human-populated environment, human-robot interaction, human-robot social interaction, Human-Robot Symbiosis, ieee xplore, Mathematical model, mobile robot navigation, Mobile robots, Navigation, path planning, service robot, SFM, social force model, social relationship model, SRM, Symbiosis, transition based rapidly random tree, trees (mathematics), T-RRT path planning algorithm 2011
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(2011) : A communication structure for human-robot itinerary requests In: Billard, Aude: Proceedings of the 6th international conference on Human-robot interaction: the 6th international conference: Lausanne, Switzerland: 3/6/2011 - 3/9/2011. ACM Special Interest Group on Artificial Intelligence; ACM Special Interest Group on Computer-Human Interaction: New York, NY: ACM, S. 205-206
Abstract: To analyze the formula for success of human communication, we examined dialogs between human interactors who were asking for directions in public place and extracted those elements that are responsible for making a dialog succeed or fail. Then, we tried to rate the elements according to the grade of their influence. Based on this rating and on the Shannon & Weaver model of communication, we created a communication structure for successful human-robot communication on which further research may be based to make human-robot communication as effective as possible.
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