Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Maram Sakr"'
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Hand force estimation is critical for applications that involve physical human-machine interactions for force monitoring and machine control. Force Myography (FMG) is a potential technique to be used for estimating hand force/torque. The FMG signals
Externí odkaz:
https://doaj.org/article/dae940d1bc8f4a6abbbc810b8a797d5b
Autor:
Wesley P. Chan, Geoffrey Hanks, Maram Sakr, Haomiao Zhang, Tiger Zuo, H. F. Machiel van der Loos, Elizabeth Croft
Publikováno v:
ACM Transactions on Human-Robot Interaction. 11:1-19
We provide an experimental evaluation of a wearable augmented reality (AR) system we have developed for human-robot teams working on tasks requiring collaboration in shared physical workspace. Recent advances in AR technology have facilitated the dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908760820c81273d556996e2c5993613
https://doi.org/10.1145/3524082
https://doi.org/10.1145/3524082
Autor:
Wesley P. Chan, Camilo Perez Quintero, Matthew K. X. J. Pan, Maram Sakr, H. F. Machiel Van der Loos, Elizabeth Croft
Publikováno v:
Virtual Reality ISBN: 9781003340003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6bf2214bd674879ed22da484c94d07d
https://doi.org/10.1201/9781003340003-8
https://doi.org/10.1201/9781003340003-8
Autor:
Alaa Eldin Abdelaal, Nancy Hong, Apeksha Avinash, Divya Budihal, Maram Sakr, Gregory D. Hager, Septimiu E. Salcudean
Publikováno v:
2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95782cc7534651dd3e621230dce5c24c
https://doi.org/10.1109/biorob52689.2022.9925374
https://doi.org/10.1109/biorob52689.2022.9925374
Publikováno v:
Annual Reviews in Control. 51:111-129
Researchers in biomechanics, neuroscience, human–machine interaction and other fields are interested in inferring human intentions and objectives from observed actions. The problem of inferring objectives from observations has received extensive th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9a67636dd4bbdb556cc3d12b99a274
https://doi.org/10.1016/j.arcontrol.2021.04.003
https://doi.org/10.1016/j.arcontrol.2021.04.003
Learning from Demonstration (LfD) seeks to democratize robotics by enabling diverse end-users to teach robots to perform a task by providing demonstrations. However, most LfD techniques assume users provide optimal demonstrations. This is not always
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be3c3db6bceffe4ef83ee9f6517a8123
http://arxiv.org/abs/2203.13843
http://arxiv.org/abs/2203.13843
Autor:
Alaa Eldin Abdelaal, Septimiu E. Salcudean, Shahed K. Mohammed, Mohakta Sahni, Soheil Hor, Maram Sakr, Sidney Fels, Apeksha Avinash, Armaan Kaur Bajwa
Publikováno v:
IEEE Robotics and Automation Letters. 4:554-561
In this letter, we propose a training approach combining hand-over-hand and trial and error training approaches and we evaluate its effectiveness for both robotic and standard laparoscopic surgical training. The proposed approach makes use of the dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4dcce5e65e538a4f8b384a9dacfbe67
https://doi.org/10.1109/lra.2018.2890209
https://doi.org/10.1109/lra.2018.2890209
Publikováno v:
ICRA
In shared autonomy, the user input is blended with the assistive motion to accomplish a task where the user goal is typically unknown to the robot. Transparency between the human and robot is essential for effective collaboration. Prior works have pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::861457fab3e1245f25f21a76d8bc40a1
https://doi.org/10.1109/icra48506.2021.9560758
https://doi.org/10.1109/icra48506.2021.9560758
Publikováno v:
HRI (Companion)
Robot learning from demonstration (LfD) is a common approach that allows robots to perform tasks after observing teacher's demonstrations. Thus, users without a robotics background could use LfD to teach robots. However, such users may provide low-qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42bc9760c5c237ebe4752f536c5e760
https://doi.org/10.1145/3434074.3446362
https://doi.org/10.1145/3434074.3446362
Autor:
H. F. Machiel Van der Loos, Wesley P. Chan, Elizabeth A. Croft, Tiger Zuo, Maram Sakr, Geoffrey Hanks
Publikováno v:
IROS
This paper investigate potential use of augmented reality (AR) for physical human-robot collaboration in large-scale, labour-intensive manufacturing tasks. While it has been shown that use of AR can help increase task efficiency in teleoperative and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e08d7f2e9701625223f287fde796d39b
https://doi.org/10.1109/iros45743.2020.9341119
https://doi.org/10.1109/iros45743.2020.9341119