The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Elastic bands: connecting path planning and control
Abstract
Elastic bands are proposed as the basis for a framework to close the gap between global path planning and real-time sensor-based robot control. An elastic band is a deformable collision-free path. The initial shape of the elastic is the free path generated by a planner. Subjected to artificial forces, the elastic band deforms in real time to a short and smooth path that maintains clearance from the obstacles. The elastic continues to deform as changes in the environment are detected by sensors, enabling the robot to accommodate uncertainties and react to unexpected and moving obstacles. While providing a tight connection between the robot and its environment, the elastic band preserves the global nature of the planned path. The framework is outlined, and an efficient implementation based on bubbles is discussed.>
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
CHOMP: Gradient optimization techniques for efficient motion planning
Ratliff, N., Zucker, M., Bagnell, J. A., & Srinivasa, S. (2009) · 2009 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2009.5152817 · Cited by 992
Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight
Zhou, B., Gao, F., Wang, L., Liu, C., & Shen, S. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2019.2927938 · Cited by 747
A dynamical system approach to realtime obstacle avoidance
Khansari-Zadeh, S. M., & Billard, A. (2012) · Autonomous Robots · doi:10.1007/s10514-012-9287-y · Cited by 264
Feature-Based Prediction of Trajectories for Socially Compliant Navigation
Kuderer, M., Kretzschmar, H., Sprunk, C., & Burgard, W. (2012) · Robotics: Science and Systems VIII · doi:10.15607/rss.2012.viii.025 · Cited by 214
Thananjeyan, B., Balakrishna, A., Rosolia, U., Li, F., McAllister, R., Gonzalez, J. E., Levine, S., Borrelli, F., & Goldberg, K. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2976272 · Cited by 83
Metadata
- Authors
- Quinlan, S., & Khatib, O.
- Venue
- [1993] Proceedings IEEE International Conference on Robotics and Automation
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-30
- Pages
- 802-807
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2152536965
- Cited by
- 793
- References
- 1
- FWCI
- 15.89
- 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: Elastic bands: connecting path planning and control. https://app.cochat.ai/papers/10.1109/robot.1993.291936
- The paper
- Quinlan, S., & Khatib, O. (2002). Elastic bands: connecting path planning and control. [1993] Proceedings IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1993.291936
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.