Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 391

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Efficient distance computation between non-convex objects

Quinlan, S.·2002·Proceedings of the 1994 IEEE International Conference on Robotics and Automation

Abstract

This paper describes an efficient algorithm for computing the distance between nonconvex objects. Objects are modeled as the union of a set of convex components. From this model we construct a hierarchical bounding representation based on spheres. The distance between objects is determined by computing the distance between pairs of convex components using preexisting techniques. The key to efficiency is a simple search routine that uses the bounding representation to ignore most of the possible pairs of components. The efficiency can further be improved by accepting a relative error in the returned result. Several empirical trials are presented to examine the performance of the algorithm.>

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/robot.1994.351059

Cites

13 of 13 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 13 references

Cited by

See all 391

Metadata

Authors
Quinlan, S.
Venue
Proceedings of the 1994 IEEE International Conference on Robotics and Automation
Published
2002-12-17
Pages
3324-3329
ISSN
1050-4729 (ISSN-L)
OpenAlex
W2139062144
Cited by
391
References
13
FWCI
26.73
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: Efficient distance computation between non-convex objects. https://app.cochat.ai/papers/10.1109/robot.1994.351059
The paper
Quinlan, S. (2002). Efficient distance computation between non-convex objects. Proceedings of the 1994 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1994.351059

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.