2 research outputs found

    RoboTable: An Infrastructure for Intuitive Interaction with Mobile Robots in a Mixed-Reality Environment

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    This paper presents the design, development, and testing of a tabletop interface called RoboTable, which is an infrastructure supporting intuitive interaction with both mobile robots and virtual components in a mixed-reality environment. With a flexible software toolkit and specifically developed robots, the platform enables various modes of interaction with mobile robots. Using this platform, prototype applications are developed for two different application domains: RoboPong investigates the efficiency of the RoboTable system in game applications, and ExploreRobot explores the possibility of using robots and intuitive interaction to enhance learning

    Agent Architecture in Social Games β€” The Implementation of Subsumption Architecture in Diplomacy

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    Social games are challenging for AI research because they involve not only the mechanism of game (taking actions, planning, etc), but also the social aspects including communicating, cooperating and reaching agreements. Some social games also require cunning, duplicity, or bad faith. In this paper we present the implementation of a prototype that utilizes the properties of the subsumption architecture to provide an interesting computer opponent in a social board game β€” Diplomacy. The evaluation result indicates that the subsumption architecture is appropriate for social games
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