A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
A note on the least squares fitting of ellipses
Pattern Recognition Letters
A layered architecture for office delivery robots
AGENTS '97 Proceedings of the first international conference on Autonomous agents
RUR '95 Proceedings of the International Workshop on Reasoning with Uncertainty in Robotics
Neural Network-Based Face Detection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Direct Least Squares Fitting of Ellipses
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Engineering Applications of Artificial Intelligence
Speed adaptation for a robot walking with a human
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Human-robot interaction: a survey
Foundations and Trends in Human-Computer Interaction
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Body movement analysis of human-robot interaction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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Proceedings of the 2007 conference on Human interface: Part I
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HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
ICSR'11 Proceedings of the Third international conference on Social Robotics
Ripple effects of an embedded social agent: a field study of a social robot in the workplace
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Recent research in mobile robot navigation make it feasible to utilize autonomous robots in service fields. But, such applications require more than just navigation. To operate in a peopled environment, robots should recognize and act according to human social behavior. In this paper, we present the design and implementation of one such social behavior: a robot that stands in line much as people do. The system employs stereo vision to recognize lines of people, and uses the concept of personal space for modeling the social behavior. Personal space is used both to detect the end of a line and to determine how much space to leave between the robot and the person in front of it. Our model of personal space is based on measurements from people forming lines. We demonstrate our ideas with a mobile robot navigation system that can purchase a cup of coffee, even if people are waiting in line for service.