The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multi-robot task allocation: analyzing the complexity and optimality of key architectures
Abstract
Important theoretical aspects of multi-robot coordination mechanisms have, to date, been largely ignored. To address part of this negligence, we focus on the problem of multi-robot task allocation. We give a formal, domain-independent, statement of the problem and show it to be an instance of another, well-studied, optimization problem. In this light, we analyze several recently proposed approaches to multi-robot task allocation, describing their fundamental characteristics in such a way that they can be objectively studied, compared, and evaluated.
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
Cites
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120
Cited by
A Formal Analysis and Taxonomy of Task Allocation in Multi-Robot Systems
Gerkey, B. P., & Matarić, M. J. (2004) · The International Journal of Robotics Research · doi:10.1177/0278364904045564 · Cited by 1,753
Self-citationMaza, I., Caballero, F., Capitán, J., Martínez-de-Dios, J. R., & Ollero, A. (2011) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-010-9497-5 · Cited by 405
Distributed Multirobot Exploration and Mapping
Fox, D., Ko, J., Konolige, K., Limketkai, B., Schulz, D., & Stewart, B. (2006) · Proceedings of the IEEE · doi:10.1109/jproc.2006.876927 · Cited by 344
Metadata
- Authors
- Gerkey, B. P., & Mataric, M. J.
- Venue
- 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422)
- Publisher
- IEEE
- Published
- 2004-03-30
- Volume
- 3
- Pages
- 3862-3868
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2162509910
- Cited by
- 234
- References
- 1
- FWCI
- 11.42
- 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: Multi-robot task allocation: analyzing the complexity and optimality of key architectures. https://app.cochat.ai/papers/10.1109/robot.2003.1242189
- The paper
- Gerkey, B. P., & Mataric, M. J. (2004). Multi-robot task allocation: analyzing the complexity and optimality of key architectures. 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422). https://doi.org/10.1109/robot.2003.1242189
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.