Abstract
This paper describes the state-of-the art of an elderly companion robot project, aimed towards the development of personal service robots for the elderly population. We propose a behavior adaptation method that reads interaction signals from the old people, and then adjust interaction output such as daily dialogues, news and whether broadcasting, motion speed and navigation-assist. The method uses detecting the user’s speech command, touch-screen input, head position and body posture as subconscious signals that indicate a user’s interaction preference. A study with the elderly companion robot that has six interaction behaviors has been conducted. The study result of 8 subjects preliminary suggests that the proposed mechanism enables adaptation to individual preferences.
This research is supported by the National High Technology Research and Development Program (863 Program) of China under grant No 2008AA040201, also supported by the Fundamental Research Funds for the Central Universities.
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Tao, Y., Wang, T., Wei, H., Yuan, P. (2010). A Behavior Adaptation Method for an Elderly Companion Robot-—Rui. In: Ge, S.S., Li, H., Cabibihan, JJ., Tan, Y.K. (eds) Social Robotics. ICSR 2010. Lecture Notes in Computer Science(), vol 6414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17248-9_15
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