Arbitrary Viewpoint Visualization for Teleoperation of Disaster Response Robots
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/01/01
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Indian UGC (journal)
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Refrences13
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Citations3
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Masataka Fuchida Department of Precision Engineering, the University of Tokyo
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Shota Chikushi Department of Precision Engineering, the University of Tokyo
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Alessandro Moro Department of Precision Engineering, the University of Tokyo
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Atsushi Yamashita Department of Precision Engineering, the University of Tokyo
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Hajime Asama Department of Precision Engineering, the University of Tokyo
Cite
Fuchida, Masataka, et al. “Arbitrary Viewpoint Visualization for Teleoperation of Disaster Response Robots”. Journal of Advanced Simulation in Science and Engineering, vol. 6, no. 1, 2019, pp. 249-5, https://doi.org/10.15748/jasse.6.249.
Fuchida, M., Chikushi, S., Moro, A., Yamashita, A., & Asama, H. (2019). Arbitrary Viewpoint Visualization for Teleoperation of Disaster Response Robots. Journal of Advanced Simulation in Science and Engineering, 6(1), 249-259. https://doi.org/10.15748/jasse.6.249
Fuchida, Masataka, Shota Chikushi, Alessandro Moro, Atsushi Yamashita, and Hajime Asama. “Arbitrary Viewpoint Visualization for Teleoperation of Disaster Response Robots”. Journal of Advanced Simulation in Science and Engineering 6, no. 1 (2019): 249-59. https://doi.org/10.15748/jasse.6.249.
Fuchida M, Chikushi S, Moro A, Yamashita A, Asama H. Arbitrary Viewpoint Visualization for Teleoperation of Disaster Response Robots. Journal of Advanced Simulation in Science and Engineering. 2019;6(1):249-5.
Journal Category
Technology
Engineering (General)
Civil engineering (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| [9] T. Sato, A. Moro, A. Sugahara, T. Tasaki, A. Yamashita, and H. Asama, Spatio-Temporal Bird's-Eye View Images Using Multiple Fish-eye Cameras, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, (2013), pp. 753-758. | ||||
| [8] F. Okura, Y. Ueda, T. Sato, N. Yokoya: Teleoperation of Mobilerobots by Generating Augmented Free-viewpoint Images, Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, (2013), pp. 665-671. | ||||
| [7] S. Kiribayashi, K. Nagatani, and K. Yakushigawa : Position Estimation of Tethered Micro Unmanned Aerial Vehicle by Observing the Slack Tether, 2017 IEEE International Symposium on Safety, Security, and Rescue Robotics, (2017). | ||||
| [6] D. Rakita, M. Bilge, and G. Michael : An Autonomous Dynamic Camera Method for Effective Remote Teleoperation, Proceeding of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, (2018), pp. 325-333. | ||||
| [5] H. Martins, O. Ia, and V. Rodrigo : Design and Evaluation of a Head-mounted Display for Immersive 3D Teleoperation of Field Robots, Robotica 33.10 (2015), pp. 2166-2185. |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| The Subjective Feeling in Human-machine Joint-control | Journal of the Robotics Society of Japan | 2022 | ||
The University of Tokyo: Corporate Sponsored Research Program “Construction System Management for Innovation” | Journal of Robotics and Mechatronics |
| 2020 | |
Arbitrary Viewpoint Visualization for Teleoperated Hydraulic Excavators | Journal of Robotics and Mechatronics |
| 6 | 2020 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Technology: Mechanical engineering and machinery | 2 |
The category
Technology: Mechanical engineering and machinery 2
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Arbitrary Viewpoint Visualization for Teleoperated Hydraulic Excavators and was published in 2020. The most recent citation comes from a 2022 study titled The Subjective Feeling in Human-machine Joint-control. This article reached its peak citation in 2020, with 2 citations. It has been cited in 2 different journals, 50% of which are open access. Among related journals, the Journal of Robotics and Mechatronics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.