@inproceedings{e90bb7634f9d4e0e822e47ad2b55f30c,
title = "Online learning of human navigational intentions",
abstract = "We present a novel approach for online learning of human intentions in the context of navigation and show its advantage in human tracking. The proposed approach assumes humans to be motivated to navigate with a set of imaginary social forces and continuously learns the preferences of each human to follow these forces. We conduct experiments both in simulation and real-world environments to demonstrate the feasibility of the approach and the benefit of employing it to track humans. The results show the correlation between the learned intentions and the actions taken by a human subject in controlled environments in the context of human-robot interaction.",
keywords = "Human tracking, Human-robot interaction, Navigational intentions",
author = "Mahmoud Hamandi and Pooyan Fazli",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 10th International Conference on Social Robotics, ICSR 2018 ; Conference date: 28-11-2018 Through 30-11-2018",
year = "2018",
doi = "10.1007/978-3-030-05204-1\_1",
language = "English (US)",
isbn = "9783030052034",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1--10",
editor = "Elizabeth Broadbent and Ge, \{Shuzhi Sam\} and Salichs, \{Miguel A.\} and {\'A}lvaro Castro-Gonz{\'a}lez and Hongsheng He and John-John Cabibihan and Wagner, \{Alan R.\}",
booktitle = "Social Robotics - 10th International Conference, ICSR 2018, Proceedings",
}