Most current approaches to social navigation focus on the trajectory and position of participants in the interaction. Our current work on the topic focuses on integrating gaze into social navigation, both to cue nearby pedestrians as to the intended trajectory of the robot and to enable the robot to read the intentions of nearby pedestrians. This paper documents a series of experiments in our laboratory investigating the role of gaze in social navigation.

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In Robotics: Science and Systems Workshop on Social Robot Navigation (RSS), Virtual, July 2021.

@inproceedings{RSS21-REUTH, title={Incorpotating Gaze into Social Navigation}, author={Justin Hart and Reuth Mirsky and Xuesu Xiao and Peter Stone}, booktitle={Robotics: Science and Systems Workshop on Social Robot Navigation (RSS)}, month={July}, address={Virtual}, url="http://www.cs.utexas.edu/users/ai-lab?RSS21-REUTH", year={2021} }

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