Perceptually docked control environment for multiple microbots: application to the gastric wall biopsy
This paper presents a human-robot interface with perceptual docking to allow for the control of multiple microbots. The aim is to demonstrate that real-time eye tracking can be used for empowering robots with human vision by using knowledge acquired in situ. Several micro-robots can be directly cont...
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Published in | 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems Vol. 2009; pp. 2783 - 2788 |
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Main Authors | , , , , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
United States
IEEE
15.10.2009
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Subjects | |
Online Access | Get full text |
ISBN | 9781424438037 1424438039 |
ISSN | 2153-0858 2153-0866 |
DOI | 10.1109/IROS.2009.5354704 |
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Abstract | This paper presents a human-robot interface with perceptual docking to allow for the control of multiple microbots. The aim is to demonstrate that real-time eye tracking can be used for empowering robots with human vision by using knowledge acquired in situ. Several micro-robots can be directly controlled through a combination of manual and eye control. The novel control environment is demonstrated on a virtual biopsy of gastric lesion through an endoluminal approach. Twenty-one subjects were recruited to test the control environment. Statistical analysis was conducted on the completion time of the task using the keyboard control and the proposed eye tracking framework. System integration with the concept of perceptual docking framework demonstrated statistically significant improvement of task execution. |
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AbstractList | This paper presents a human-robot interface with perceptual docking to allow for the control of multiple microbots. The aim is to demonstrate that real-time eye tracking can be used for empowering robots with human vision by using knowledge acquired
. Several micro-robots can be directly controlled through a combination of manual and eye control. The novel control environment is demonstrated on a virtual biopsy of gastric lesion through an endoluminal approach. Twenty-one subjects were recruited to test the control environment. Statistical analysis was conducted on the completion time of the task using the keyboard control and the proposed eye tracking framework. System integration with the concept of perceptual docking framework demonstrated statistically significant improvement of task execution. This paper presents a human-robot interface with perceptual docking to allow for the control of multiple microbots. The aim is to demonstrate that real-time eye tracking can be used for empowering robots with human vision by using knowledge acquired in situ. Several micro-robots can be directly controlled through a combination of manual and eye control. The novel control environment is demonstrated on a virtual biopsy of gastric lesion through an endoluminal approach. Twenty-one subjects were recruited to test the control environment. Statistical analysis was conducted on the completion time of the task using the keyboard control and the proposed eye tracking framework. System integration with the concept of perceptual docking framework demonstrated statistically significant improvement of task execution. This paper presents a human-robot interface with perceptual docking to allow for the control of multiple microbots. The aim is to demonstrate that real-time eye tracking can be used for empowering robots with human vision by using knowledge acquired in situ . Several micro-robots can be directly controlled through a combination of manual and eye control. The novel control environment is demonstrated on a virtual biopsy of gastric lesion through an endoluminal approach. Twenty-one subjects were recruited to test the control environment. Statistical analysis was conducted on the completion time of the task using the keyboard control and the proposed eye tracking framework. System integration with the concept of perceptual docking framework demonstrated statistically significant improvement of task execution. This paper presents a human-robot interface with perceptual docking to allow for the control of multiple microbots. The aim is to demonstrate that real-time eye tracking can be used for empowering robots with human vision by using knowledge acquired in situ. Several micro-robots can be directly controlled through a combination of manual and eye control. The novel control environment is demonstrated on a virtual biopsy of gastric lesion through an endoluminal approach. Twenty-one subjects were recruited to test the control environment. Statistical analysis was conducted on the completion time of the task using the keyboard control and the proposed eye tracking framework. System integration with the concept of perceptual docking framework demonstrated statistically significant improvement of task execution.This paper presents a human-robot interface with perceptual docking to allow for the control of multiple microbots. The aim is to demonstrate that real-time eye tracking can be used for empowering robots with human vision by using knowledge acquired in situ. Several micro-robots can be directly controlled through a combination of manual and eye control. The novel control environment is demonstrated on a virtual biopsy of gastric lesion through an endoluminal approach. Twenty-one subjects were recruited to test the control environment. Statistical analysis was conducted on the completion time of the task using the keyboard control and the proposed eye tracking framework. System integration with the concept of perceptual docking framework demonstrated statistically significant improvement of task execution. |
Author | Loi Wah Sun James, D.R.C. Darzi, A. Guang-Zhong Yang Vitiello, V. Mylonas, G.P. Ka Wai Kwok |
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References | 17127651 - Comput Aided Surg. 2006 Sep;11(5):256-66 15599295 - Surg Laparosc Endosc Percutan Tech. 2004 Dec;14(6):323-7 15660368 - J Surg Oncol. 2005 Feb 1;89(2):95-8 18982663 - Med Image Comput Comput Assist Interv. 2008;11(Pt 2):676-83 |
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SubjectTerms | Biopsy Cameras Control systems Eyes Humans Robot sensing systems Robot vision systems Sun Surgery Surges |
Title | Perceptually docked control environment for multiple microbots: application to the gastric wall biopsy |
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