The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-speed navigation using the global dynamic window approach
Abstract
Many applications in mobile robotics require the safe execution of a collision-free motion to a goal position. Planning approaches are well suited for achieving a goal position in known static environments, while real-time obstacle avoidance methods allow reactive motion behavior in dynamic and unknown environments. This paper proposes the global dynamic window approach as a generalization of the dynamic window approach. It combines methods from motion planning and real-time obstacle avoidance to result in a framework that allows robust execution of high-velocity, goal-directed reactive motion for a mobile robot in unknown and dynamic environments. The global dynamic window approach is applicable to nonholonomic and holonomic 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
Cites
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
Khatib, O. (1986) · The International Journal of Robotics Research · doi:10.1177/027836498600500106 · Cited by 7,894
Self-citation
Cited by
Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles
Likhachev, M., & Ferguson, D. (2009) · The International Journal of Robotics Research · doi:10.1177/0278364909340445 · Cited by 512
Path Planning for Autonomous Mobile Robots: A Review
Sánchez-Ibáñez, J. R., Pérez-del-Pulgar, C. J., & García-Cerezo, A. (2021) · Sensors · doi:10.3390/s21237898 · Cited by 462
Ship collision avoidance methods: State-of-the-art
Huang, Y., Chen, L., Chen, P., Negenborn, R. R., & van Gelder, P. H. A. J. M. (2020) · Safety Science · doi:10.1016/j.ssci.2019.09.018 · Cited by 431
Using interpolation to improve path planning: The Field D* algorithm
Ferguson, D., & Stentz, A. (2006) · Journal of Field Robotics · doi:10.1002/rob.20109 · Cited by 393
Inevitable collision states — a step towards safer robots?
Fraichard, T., & Asama, H. (2004) · Advanced Robotics · doi:10.1163/1568553042674662 · Cited by 324
Metadata
- Authors
- Brock, O., & Khatib, O.
- Venue
- Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C)
- Publisher
- IEEE
- Published
- 2003-01-20
- Volume
- 1
- Pages
- 341-346
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2131505299
- Cited by
- 539
- References
- 1
- FWCI
- 23.69
- 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: High-speed navigation using the global dynamic window approach. https://app.cochat.ai/papers/10.1109/robot.1999.770002
- The paper
- Brock, O., & Khatib, O. (2003). High-speed navigation using the global dynamic window approach. Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C). https://doi.org/10.1109/robot.1999.770002
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.
