The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
A hand-arm teleoperation system for robotic dexterous manipulation
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A teleoperation frequency of 50Hz is common among other non-bilateral systems [7, 50, 39] and in practice demonstrates sufficient performance.”
From Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware (2023) · cites this paper as [39]
Citations
Cites
Image-to-Image Translation with Conditional Adversarial Networks
Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.632 · Cited by 22,930
Auto-Encoding Variational Bayes
Kingma, D. P., & Welling, M. (2013) · arXiv · doi:10.48550/arxiv.1312.6114 · Cited by 20,067
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(2017) · doi:10.1109/cvpr35066.2017 · Cited by 7,284
International Conference on Learning Representations (ICLR 2013)
松尾, 豊. (2013) · 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence · Cited by 6,286
Context Encoders: Feature Learning by Inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.278 · Cited by 5,691
Jaderberg, M., Simonyan, K., Zisserman, A., & Kavukcuoglu, K. (2015) · arXiv · doi:10.48550/arxiv.1506.02025 · Cited by 5,137
Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
Wallach, H., Larochelle, H., Beygelzimer, A., d’Alché–Buc, F., Fox, E. B., & Garnett, R. (2020) · HAL · Cited by 2,450
2018 IEEE International Conference on Robotics and Automation (ICRA)
(2018) · doi:10.1109/icra36916.2018 · Cited by 1,369
Toward Multimodal Image-to-Image TranslationPreprint
Zhu, J.-Y., Zhang, R., Pathak, D., Darrell, T., Efros, A. A., Wang, O., & Shechtman, E. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.11586 · Cited by 1,170
2020 IEEE International Conference on Robotics and Automation (ICRA)
(2020) · doi:10.1109/icra40945.2020 · Cited by 765
Flagged first, then by citations
1 of the 26 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Du, 2013, Robot manipulator using a vision-based human–manipulator interface, Journal of Theoretical & Applied Information Technology, 50
Cited by
Sorted by citations
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Zhao, T. Z., Kumar, V., Levine, S., & Finn, C. (2023) · arXiv · doi:10.48550/arxiv.2304.13705 · Cited by 673
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Zhao, T., Kumar, V., Levine, S., & Finn, C. (2023) · Robotics: Science and Systems XIX · doi:10.15607/rss.2023.xix.016 · Cited by 674
Zhu, X., Zhang, Z., & Meng, F. (2026) · Cogent Engineering · doi:10.1080/23311916.2026.2720090
Metadata
- Authors
- Li, S., Li, Q., & Zhang, J.
- Affiliations
- Universität Hamburg (DE)
- Bielefeld University (DE)
- Venue
- Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation
- Publisher
- Elsevier
- Published
- 2022
- Pages
- 227-245
- OpenAlex
- W4226208177
- Cited by
- 2
- References
- 26
- Citations by year
- 2026: 1 · 2023: 1
- FWCI
- 0.97
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Keywords
- dexterous robotic manipulation, visual servoing, robotic hand, robot manipulators, image-to-image translation, human-robot coordination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
