Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hooman Hedayati"'
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
In this paper, we survey the emerging design space of expandable structures in robotics, with a focus on how such structures may improve human-robot interactions. We detail various implementation considerations for researchers seeking to integrate su
Externí odkaz:
https://doaj.org/article/2f71d071fefd4396880cf65174873d50
Autor:
Hooman Hedayati, Stela Hanbyeol Seo, Takayuki Kanda, Daniel J. Rea, Sean Andrist, Yukiko Nakano, Hiroshi Ishiguro
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bd692f78b8d5f1e7110205c73362eb1
https://doi.org/10.1145/3568294.3579964
https://doi.org/10.1145/3568294.3579964
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
This paper contributes to a taxonomy of augmented reality and robotics based on a survey of 460 research papers. Augmented and mixed reality (AR/MR) have emerged as a new way to enhance human-robot interaction (HRI) and robotic interfaces (e.g., actu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08da96a379e2b7f91825e7e85ad7a62b
https://doi.org/10.1145/3491102.3517719
https://doi.org/10.1145/3491102.3517719
Autor:
Hooman Hedayati, Daniel Szafir
Publikováno v:
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eebcc7521bf4f47a1a63086c7971c80f
https://doi.org/10.1109/hri53351.2022.9889628
https://doi.org/10.1109/hri53351.2022.9889628
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef36bf31796b0d73db9559fde45d9a62
https://doi.org/10.1109/iros51168.2021.9635999
https://doi.org/10.1109/iros51168.2021.9635999
Publikováno v:
Frontiers in robotics and AI. 9
In this paper, we survey the emerging design space of expandable structures in robotics, with a focus on how such structures may improve human-robot interactions. We detail various implementation considerations for researchers seeking to integrate su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c2242e71cb372344f974640faf7c984
https://pubmed.ncbi.nlm.nih.gov/35480087
https://pubmed.ncbi.nlm.nih.gov/35480087
Publikováno v:
IROS
Recognizing and understanding conversational groups, or F-formations, is a critical task for situated agents designed to interact with humans. F-formations contain complex structures and dynamics, yet are used intuitively by people in everyday face-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::052fb04a792df4f80f134f7a7d05a662
https://doi.org/10.1109/iros45743.2020.9340708
https://doi.org/10.1109/iros45743.2020.9340708
Publikováno v:
IROS
We present PufferBot, an aerial robot with an expandable structure that may expand to protect a drone's propellers when the robot is close to obstacles or collocated humans. PufferBot is made of a custom 3D-printed expandable scissor structure, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02b545b055b99465dfe8884a99390252
https://doi.org/10.1109/iros45743.2020.9341088
https://doi.org/10.1109/iros45743.2020.9341088
Publikováno v:
CHI Extended Abstracts
With an increasing number of artificial agents operating in the real-world, understanding the formation of conversational groups, or F-formations, around them can provide critical information for interactions. In this paper, we report on an experimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71daf4cf67d7f13b7845b91953cf53e5
https://doi.org/10.1145/3334480.3383015
https://doi.org/10.1145/3334480.3383015
Autor:
James L. Bohn, Mark D. Gross, Daniel Leithinger, Hooman Hedayati, Ellen Yi-Luen Do, Ryo Suzuki, Daniel Szafir, Clement Zheng
Publikováno v:
CHI
RoomShift is a room-scale dynamic haptic environment for virtual reality, using a small swarm of robots that can move furniture. RoomShift consists of nine shape-changing robots: Roombas with mechanical scissor lifts. These robots drive beneath a pie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::974330ea02c97b4531d217f4fd7ad406
