The DOI matches its Crossref record.
Ocean One: A Robotic Avatar for Oceanic Discovery
Open accessAbstract
The promise of oceanic discovery has long intrigued scientists and explorers, whether with the idea of studying underwater ecology and climate change or with the hope of uncovering natural resources and historic secrets buried deep in archaeological sites. This quest to explore the oceans requires skilled human access, yet much of the oceans are inaccessible to human divers; nearly ninetenths of the ocean floor is at 1 km or deeper [1]. Accessing these depths is imperative since factors such as pollution and deep-sea trawling threaten ecology and archaeological sites. While remotely operated vehicles (ROVs) are inadequate for the task, a robotic avatar could go where humans cannot and still embody human intelligence and intentions through immersive interfaces.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A review of mobile robots: Concepts, methods, theoretical framework, and applications
Rubio, F., Valero, F., & Llopis-Albert, C. (2019) · International Journal of Advanced Robotic Systems · doi:10.1177/1729881419839596 · Cited by 763
Electronic skins and machine learning for intelligent soft robots
Shih, B., Shah, D., Li, J., Thuruthel, T. G., Park, Y.-L., Iida, F., Bao, Z., Kramer-Bottiglio, R., & Tolley, M. T. (2020) · Science Robotics · doi:10.1126/scirobotics.aaz9239 · Cited by 715
The current state and future outlook of rescue robotics
Delmerico, J., Mintchev, S., Giusti, A., Gromov, B., Melo, K., Horvat, T., Cadena, C., Hutter, M., Ijspeert, A., Floreano, D., et al. (2019) · Journal of Field Robotics · doi:10.1002/rob.21887 · Cited by 371
Challenges and future trends in marine robotics
Zereik, E., Bibuli, M., Mišković, N., Ridao, P., & Pascoal, A. (2018) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2018.10.002 · Cited by 284
Underwater Robots: From Remotely Operated Vehicles to Intervention-Autonomous Underwater Vehicles
Petillot, Y. R., Antonelli, G., Casalino, G., & Ferreira, F. (2019) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2019.2908063 · Cited by 265
Metadata
- Authors
- Khatib, O., Yeh, X., Brantner, G., Soe, B., Kim, B., Ganguly, S., Stuart, H., Wang, S., Cutkosky, M., Edsinger, A., Mullins, P., Barham, M., Voolstra, C. R., Salama, K. N., L'Hour, M., & Creuze, V.
- Venue
- IEEE Robotics & Automation Magazine
- Published
- 2016-12
- Volume
- 23
- Issue
- 4
- Pages
- 20-29
- ISSN
- 1070-9932 (ISSN-L)
- 1558-223X
- OpenAlex
- W2551865091
- Cited by
- 251
- References
- 0
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ocean One: A Robotic Avatar for Oceanic Discovery. https://app.cochat.ai/papers/10.1109/mra.2016.2613281
- The paper
- Khatib, O., Yeh, X., Brantner, G., Soe, B., Kim, B., Ganguly, S., Stuart, H., Wang, S., Cutkosky, M., Edsinger, A., Mullins, P., Barham, M., Voolstra, C. R., Salama, K. N., L'Hour, M., & Creuze, V. (2016). Ocean One: A Robotic Avatar for Oceanic Discovery. IEEE Robotics & Automation Magazine. https://doi.org/10.1109/mra.2016.2613281
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
