Designing Sociable Robots
A Comparison of Face Detection Algorithms
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Sound and Visual Tracking for Humanoid Robot
Applied Intelligence
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Fuzzy motivations for evolutionary behavior learning by a mobile robot
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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Research on human-robot interaction is getting an increasing amount of attention. Because almost all the research has dealt with communication between one robot and one person, quite little is known about communication between a robot and multiple people. We developed a method that enables robots to communicate with multiple people by selecting an interactive partner using criteria based on the concept of proxemics. In this method, a robot changes active sensory-motor modalities based on the interaction distance between itself and a person. Our method was implemented in a humanoid robot, SIG2, using a subsumption architecture. SIG2 has various sensory-motor modalities to interact with humans. A demonstration of SIG2 showed that the proposed method works well during interaction with multiple people.This research was partially supported by the Ministry of Education, Culture, Sports, Science and Technology, Grant-in-Aid for Scientific Research No.15200015 and No.1601625, and COE Program of Informatics Research Center for Development of Knowledge Society Infrastructure.