How to approach humans?: strategies for social robots to initiate interaction
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Influences on proxemic behaviors in human-robot interaction
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Reconfiguring spatial formation arrangement by robot body orientation
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
Recognition of spatial dynamics for predicting social interaction
Proceedings of the 6th international conference on Human-robot interaction
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Proxemic feature recognition for interactive robots: automating metrics from the social sciences
ICSR'11 Proceedings of the Third international conference on Social Robotics
Autonomous control of human-robot spacing: a socially situated approach
Proceedings of the 1st symposium on Spatial user interaction
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To enable natural and productive situated human-robot interaction, a robot must both understand and control proxemics, the social use of space, in order to employ communication mechanisms analogous to those used by humans: social speech and gesture production and recognition. My research focuses on answering these questions: How do social (auditory and visual) and environmental (noisy and occluding) stimuli influence spatially situated communication between humans and robots, and how should a robot dynamically adjust its communication mechanisms to maximize human perceptions of its social signals in the presence of extrinsic and intrinsic sensory interference?