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  A robotic-aid system could be more effective if the system were intelligent enough to understand the user needs and adapt its behaviors accordingly. This paper presents our efforts to realize such a personal robotic-aid system through multi-agent robot control architecture. This paper presents a framework for human-robot interaction, two cognitive agents responsible for human-robot interaction, and a set of memory structures. Several applications illustrate how the system interacts with the user.

Abstract<BR>Ⅰ. INTRODUCTION<BR>Ⅱ. DESIGN OF PERSONALIZED HUMAN-ROBOT INTERACTION<BR>Ⅲ. HUMAN AGENT FOR PERSONALIZED HUMAN-ROBOT INTERACTION<BR>Ⅳ. SELF AGENT FOR COGNITIVE CONTROL<BR>Ⅴ. EXPERIMENTAL RESULTS<BR>Ⅵ. CONCLUSION<BR>ACKNOWLEDGEMENTS<BR>REFERENCES<BR>

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