COSPI: Contextual Sensors for Human-Robot Interaction

K. Ishii and M. Imai (Japan)


Human-Robot Interaction, Sensor Network, Visual Sensor, Space Recognition, Communicating Context


This paper proposes a system named COSPI for commu nication robot to process data from sensors in the environ ment. In order to realize a smooth interaction between a person and a robot, the robot needs to recognize objects around itself including people. However, since the infor mation acquired from sensors on the robot is poor and lim ited to local information of the robot, it is difficult to realize a smooth interaction relying only on the information from sensors on the robot. In this research, we set sensors in an environment to obtain wide and rich environmental data from sensors around the robot. In case of a communication robot, since the robot requires to deal with several tasks in parallel, the robot needs to deal with the information from sensors simply to realize a smooth interaction. COSPI changes data sent to robots by its internal state. Robots can simply react on data from COSPI. In this paper, we explain how COSPI's state is determined and how COSPI selects data from sensors.

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