The DOI matches its Crossref record.
Reciprocal Velocity Obstacles for real-time multi-agent navigation
Abstract
In this paper, we propose a new concept - the "Reciprocal Velocity Obstacle"- for real-time multi-agent navigation. We consider the case in which each agent navigates independently without explicit communication with other agents. Our formulation is an extension of the Velocity Obstacle concept [3], which was introduced for navigation among (passively) moving obstacles. Our approach takes into account the reactive behavior of the other agents by implicitly assuming that the other agents make a similar collision-avoidance reasoning. We show that this method guarantees safe and oscillation- free motions for each of the agents. We apply our concept to navigation of hundreds of agents in densely populated environments containing both static and moving obstacles, and we show that real-time and scalable performance is achieved in such challenging scenarios.
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
No references could be resolved yet.
Research works printed but not linked: 23
- 10.1145/1179352.1142008 · DOI · Paper page
- 10.1145/1342250.1342272 · DOI · Paper page
- 10.1109/VR.2007.352468 · doi:10.1109/vr.2007.352468
- vannoy, 2006, Real-time planning of mobile manipulation in dynamic environments of unknown changes
- 10.1016/S0921-8890(97)00033-X · DOI · Paper page
- 10.1109/ROBOT.2007.363553 · DOI · Paper page
- 10.1109/ROBOT.2002.1014852 · DOI · Paper page
- 10.1109/ROBOT.2001.933196 · DOI
- 10.1002/cav.147 · DOI
- 10.1109/IROS.2005.1545549 · DOI · Paper page
- 10.1109/70.736775 · DOI · Paper page
- 10.1109/ROBOT.2007.363117 · doi:10.1109/robot.2007.363117
- 10.1109/ROBOT.2006.1642056 · DOI · Paper page
- 10.1177/027836499801700706 · DOI · Paper page
- 10.1109/ROBOT.2006.1642056 · DOI · Paper page
- 10.1109/IROS.2001.977147 · doi:10.1109/iros.2001.977147
- 10.1111/j.1467-8659.2004.00782.x · DOI · Paper page
- 10.1177/027836402320556421 · DOI · Paper page
- 10.1109/IROS.2007.4399287 · DOI
- 10.1109/ROBOT.2007.363554 · DOI
- 10.1109/100.580977 · DOI · Paper page
- 10.1109/ROBOT.2004.1308926 · DOI
- 10.1109/IROS.2004.1389625 · DOI
Cited by
Perception, Planning, Control, and Coordination for Autonomous Vehicles
Pendleton, S., Andersen, H., Du, X., Shen, X., Meghjani, M., Eng, Y., Rus, D., & Ang, M. (2017) · Machines · doi:10.3390/machines5010006 · Cited by 657
The Hybrid Reciprocal Velocity Obstacle
Snape, J., Berg, J. V. D., Guy, S. J., & Manocha, D. (2011) · IEEE Transactions on Robotics · doi:10.1109/tro.2011.2120810 · Cited by 448
Self-citationElallid, B. B., Benamar, N., Hafid, A. S., Rachidi, T., & Mrani, N. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2022.03.013 · Cited by 179
Persistent and Robust Execution of MAPF Schedules in Warehouses
Honig, W., Kiesel, S., Tinka, A., Durham, J. W., & Ayanian, N. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2019.2894217 · Cited by 139
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Rempe, D., Luo, Z., Peng, X. B., Yuan, Y., Kitani, K., Kreis, K., Fidler, S., & Litany, O. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.01322 · Cited by 97
Metadata
- Authors
- van den Berg, J., Lin, M., & Manocha, D.
- Venue
- 2008 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE
- Published
- 2008-05
- Pages
- 1928-1935
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2142943472
- Cited by
- 1,722
- References
- 0
- FWCI
- 21.90
- 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: Reciprocal Velocity Obstacles for real-time multi-agent navigation. https://app.cochat.ai/papers/10.1109/robot.2008.4543489
- The paper
- van den Berg, J., Lin, M., & Manocha, D. (2008). Reciprocal Velocity Obstacles for real-time multi-agent navigation. 2008 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.2008.4543489
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.