Hooman Hedayati

  • PhD, Comp Sci '21
  • COMPUTER SCIENCE

Hooman Hedayati works in human-robot interaction, machine learning and robotics, seeking more seamless, safer and intuitive ways for people to interact with computationally controlled devices. A member of the IRON Lab since 2016, he is a doctoral student in the Department of Computer Science. His work includes studying the interactions between flying robots and humans, developing algorithms to support more socially sensitive behavior for robots, and using augmented reality to make working with robots more productive and safer.

For more information about Hooman, view his LinkedIn page. Alumni pages are not always updated after graduation.​

 

Publications

  • Suzuki, Ryo & Karim, Adnan & Xia, Tian & Hedayati, Hooman & Marquardt, Nicolai. (2022). Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces.  In Proceedings of CHI Conference on Human Factors in Computing Systems (CHI ’22). (New Orleans, LA—April 30-May 5, 2022).
     
  • Hooman Hedayati, Ryo Suzuki, Wyatt Rees, Daniel Leithinger, and Daniel Szafir. 2022. Designing Expandable-Structure Robots for Human-Robot Interaction. Frontiers in Robotics and AI. vol. 9. DOI=10.3389/frobt.2022.719639  (April 11, 2022).
     
  • Hooman Hedayati and Daniel Szafir. 2022. Predicting Positions of People in Human-Robot Conversational Groups. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI '22). IEEE Press, 402–411. (Hokkaido, Japan—March 7-10, 2022).

  • Hooman Hedayati, Ryo Suzuki, Daniel Leithinger, Daniel J. Szafir. 2020. PufferBot: Actuated Expandable Structures for Aerial Robots. In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020). DOI: 10.1109/IROS45743.2020.9341088. (Las Vegas, Nevada–Oct. 25-29, 2020) pdf.

  • Hooman Hedayati, Annika Muehlbradt, Daniel J. Szafir and Sean Andrist. 2020. REFORM: Recognizing F-formations for Social Robots. In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020). DOI: 10.1109/IROS45743.2020.9340708. (Las Vegas, Nevada–Oct. 25-29, 2020). pdf

  • Hooman Hedayati, Daniel Szafir, and James Kennedy. 2020. Comparing F-Formations Between Humans and On-Screen Agents. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, 1–9. DOI:https://doi.org/10.1145/3334480.3383015 (Honolulu, Hawaii (virtual) – April 25-30, 2020).
     
  • Ryo Suzuki, Hooman Hedayati, Clement Zheng, James Bohn, Daniel Szafir, Ellen Yi-Luen Do, Mark D Gross, and Daniel Leithinger. 2020. RoomShift: Room-scale Dynamic Haptics for VR with Furniture-moving Swarm Robots. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). ACM, New York, NY, USA, Paper 396, 11 pages. DOI: https://doi.org/10.1145/3313831.3376523  (Honolulu, Hawaii– April 25-30, 2020)

  • 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].