Hooman Hedayati works in human-robot interaction, machine learning听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听student in the Department of Computer Science. His work includes听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听Hooman, view his听page.听Alumni pages are not always updated after graduation.鈥�
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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.听听In听Proceedings of听CHI Conference on Human Factors in Computing Systems (CHI 鈥�22). (New Orleans, LA鈥擜pril 30-May 5, 2022).
听 - Hooman Hedayati, Ryo听Suzuki, Wyatt Rees, Daniel Leithinger, and Daniel Szafir. 2022. . Frontiers in Robotics and AI. vol. 9. DOI=10.3389/frobt.2022.719639听 (April 11, 2022).
听 - Hooman Hedayati听and听Daniel Szafir. 2022. Predicting Positions of People in Human-Robot Conversational Groups. In听Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction听(HRI '22). IEEE Press, 402鈥�411. (Hokkaido, Japan鈥擬arch 7-10, 2022).
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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: . (Las Vegas, Nevada鈥揙ct.听25-29, 2020) .
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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: . (Las Vegas, Nevada鈥揙ct.听25-29, 2020).
- Hooman Hedayati,听Daniel Szafir, and James Kennedy. 2020. Comparing F-Formations Between Humans and On-Screen Agents. In听Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems听(CHI EA 鈥�20). Association for Computing Machinery, New York, NY, USA, 1鈥�9. DOI:听(Honolulu, Hawaii (virtual) 鈥撎鼳pril 25-30, 2020).
听 - Ryo Suzuki,听Hooman Hedayati,听Clement Zheng, James Bohn,听Daniel Szafir,听Ellen Yi-Luen Do,听Mark D Gross, and听Daniel Leithinger. 2020. RoomShift: Room-scale Dynamic Haptics for VR with Furniture-moving Swarm Robots. In听Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). ACM, New York, NY, USA, Paper 396, 11 pages. DOI:听听 (Honolulu, Hawaii鈥撎鼳pril 25-30, 2020)
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Michael Walker, Hooman Hedayati听and Daniel Szafir.听2019.听Robot Teleoperation with Augmented Reality Virtual Surrogates. In Proceedings of the 2019听ACM/IEEE听International Conference on Human-Robot Interaction (HRI '19).听(Daegu, South Korea 鈥� March 11-14, 2019).
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Hooman Hedayati, Daniel Szafir, and Sean Andrist. 2019. Recognizing F-Formations in the Open World. In听2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI '19). DOI:听(Daegu, South Korea 鈥� March 11-14, 2019).
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Hooman Hedayati, Akriti Kapur, Bradley Hayes and Daniel Szafir. 2018.听听Robot Navigation for Space Station Environments, In听Robotics: Science and Systems Conference at Carnegie Mellon University. (Pittsburgh, Pennsylvania听 鈥� June 26-30,听2018).
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Hooman Hedayti,听Michael Walker听and听Daniel Szafir.听2018.听听,听 In听Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction听(). ACM, New York, NY, USA, 78-86. DOI:听听(Chicago,听March 5-8). [Runner-up for听Best Paper in Design Category] .鈥�
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Michael Walker, Hooman Hedayti, Jennifer Lee, Daniel Szafir.听2018.听,听In Proceedings of the听ACM/IEEE International Conference on Human-Robot Interaction (). ACM, New York, NY, USA, 316-324. DOI: 听听(Chicago,听March 5-8) [Best Paper in Design Category].
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