The DOI matches its Crossref record.
Cooperative positioning with multiple robots
Abstract
A number of positioning identification techniques have been used for mobile robots. Dead reckoning is a popular method, but is not reliable when a robot travels long distances or over an uneven surface because of variations in wheel diameter and wheel slippage. The landmark method, which estimates the current position relative to landmarks, cannot be used in an uncharted environment. The authors propose a new method called "cooperative positioning with multiple robots". For cooperative positioning, the authors divide the robots into two groups, A and B. One group, say A, remains stationary and acts as a landmark while group B moves. The moving group B then stops and acts as a landmark for group A. This "dance" is repeated until the target robot position are reached. Cooperative positioning has a far lower accumulated positioning error than dead reckoning, and can work in three-dimensions which is not possible with dead reckoning. Also, this method has inherent landmarks and therefore works in uncharted environments. This paper discusses the positioning accuracy of the authors' method with error variances for an example with three mobile robots.>
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
Coordinated multi-robot exploration
Burgard, W., Moors, M., Stachniss, C., & Schneider, F. E. (2005) · IEEE Transactions on Robotics · doi:10.1109/tro.2004.839232 · Cited by 1,177
Cooperative Localization for Autonomous Underwater Vehicles
Bahr, A., Leonard, J. J., & Fallon, M. F. (2009) · The International Journal of Robotics Research · doi:10.1177/0278364908100561 · Cited by 363
Multiple-Robot Simultaneous Localization and Mapping: A Review
Saeedi, S., Trentini, M., Seto, M., & Li, H. (2016) · Journal of Field Robotics · doi:10.1002/rob.21620 · Cited by 324
Cooperative Localization for Autonomous Underwater Vehicles
Bahr, A., & Leonard, J. J. (2008) · Springer Tracts in Advanced Robotics · doi:10.1007/978-3-540-77457-0_36 · Cited by 266
Distributed maximum a posteriori estimation for multi-robot cooperative localization
Nerurkar, E. D., Roumeliotis, S. I., & Martinelli, A. (2009) · 2009 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2009.5152398 · Cited by 233
Metadata
- Authors
- Kurazume, R., Nagata, S., & Hirose, S.
- Venue
- Proceedings of the 1994 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-17
- Pages
- 1250-1257
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W1592358051
- Cited by
- 284
- References
- 0
- FWCI
- 22.12
- Type
- conference paper
- Language
- en
- Open access
- closed
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: Cooperative positioning with multiple robots. https://app.cochat.ai/papers/10.1109/robot.1994.351315
- The paper
- Kurazume, R., Nagata, S., & Hirose, S. (2002). Cooperative positioning with multiple robots. Proceedings of the 1994 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1994.351315
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.
