Hooman Hedayati
PhD Student
Computer Science

Hooman is a first-year doctoral student in the Department of Computer Science. His research interests include human-robot interaction, machine learning and robotics. He is currently studying the interactions between flying robots and humans.

 

Publications

  • Michael Walker, Hooman Hedayati and Daniel Szafir. 2019. Robot Teleoperation with Augmented Reality Virtual Surrogates. In Proceedings of the 2019 ACM/IEEE International Conference on Human-Robot Interaction (HRI '19). (Daegu, South Korea – March 11-14, 2019).

  • Hooman Hedayati, Daniel Szafir, and Sean Andrist. 2019. Recognizing F-Formations in the Open World. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI '19). DOI:http://dx.doi.org/10.1109/hri.2019.8673233 (Daegu, South Korea – March 11-14, 2019).

  • Hooman Hedayati, Akriti Kapur, Bradley Hayes and Daniel Szafir. 2018.  Robot Navigation for Space Station Environments, In Robotics: Science and Systems Conference at Carnegie Mellon University. (Pittsburgh, Pennsylvania  – June 26-30, 2018).

  • Hooman Hedayti, Michael Walker, and Daniel Szafir. 2018.  Improving Collocated Teleoperation with Augmented Reality,  In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI’18). ACM, New York, NY, USA, 78-86. DOI: https://doi.org/10.1145/3171221.3171251 (Chicago, March 5-8). Runner-up for Best Paper in Design Category. 

  • Michael Walker, Hooman Hedayti, Jennifer Lee, Daniel Szafir. 2018. Communicating Robot Motion Intent with Augmented Reality, In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI’18). ACM, New York, NY, USA, 316-324. DOI: https://doi.org/10.1145/3171221.3171253  (Chicago, March 5-8) Best Paper in Design Category.