The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Exact robot navigation using artificial potential functions
Abstract
A methodology for exact robot motion planning and control that unifies the purely kinematic path planning problem with the lower level feedback controller design is presented. Complete information about a freespace and goal is encoded in the form of a special artificial potential function, called a navigation function, that connects the kinematic planning problem with the dynamic execution problem in a provably correct fashion. The navigation function automatically gives rise to a bounded-torque feedback controller for the robot's actuators that guarantees collision-free motion and convergence to the destination from almost all initial free configurations. A formula for navigation functions that guide a point-mass robot in a generalized sphere world is developed. The simplest member of this family is a space obtained by puncturing a disk by an arbitrary number of smaller disjoint disks representing obstacles. The other spaces are obtained from this model by a suitable coordinate transformation. Simulation results for planar scenarios are provided.>
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
Cited by
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
Kavraki, L. E., Svestka, P., Latombe, J.-C., & Overmars, M. H. (1996) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.508439 · Cited by 6,343
Dynamic Motion Planning for Mobile Robots Using Potential Field Method
Ge, S. S., & Cui, Y. J. (2002) · Autonomous Robots · doi:10.1023/a:1020564024509 · Cited by 803
Sequential Composition of Dynamically Dexterous Robot Behaviors
Burridge, R. R., Rizzi, A. A., & Koditschek, D. E. (1999) · The International Journal of Robotics Research · doi:10.1177/02783649922066385 · Cited by 446
Self-citationDriving safety field theory modeling and its application in pre-collision warning system
Wang, J., Wu, J., Zheng, X., Ni, D., & Li, K. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.10.003 · Cited by 367
Survey of Robot 3D Path Planning Algorithms
Yang, L., Qi, J., Song, D., Xiao, J., Han, J., & Xia, Y. (2016) · Journal of Control Science and Engineering · doi:10.1155/2016/7426913 · Cited by 328
Metadata
- Authors
- Rimon, E., & Koditschek, D. E.
- Venue
- IEEE Transactions on Robotics and Automation
- Published
- 1992
- Volume
- 8
- Issue
- 5
- Pages
- 501-518
- ISSN
- 1042-296X (ISSN-L)
- OpenAlex
- W2110144538
- Cited by
- 1,835
- References
- 1
- FWCI
- 9.08
- Type
- journal article
- 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: Exact robot navigation using artificial potential functions. https://app.cochat.ai/papers/10.1109/70.163777
- The paper
- Rimon, E., & Koditschek, D. E. (1992). Exact robot navigation using artificial potential functions. IEEE Transactions on Robotics and Automation. https://doi.org/10.1109/70.163777
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.