Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 334

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Dynamic Maps for Long-Term Operation of Mobile Service Robots

Open access
Biber, Peter, Duckett, Tom·2005·Robotics: Science and Systems I
DOI 10.15607/rss.2005.i.003
Open this paper in CoChat — free account

Abstract

This paper introduces a dynamic map for mobile robots that adapts continuously over time. It resolves the stabilityplasticity dilemma (the trade-off between adaptation to new patterns and preservation of old patterns) by representing the environment over multiple timescales simultaneously (5 in our experiments). A sample-based representation is proposed, where older memories fade at different rates depending on the timescale.Robust statistics are used to interpret the samples.It is shown that this approach can track both stationary and non-stationary elements of the environment, covering the full spectrum of variations from moving objects to structural changes.The method was evaluated in a five week experiment in a real dynamic environment.Experimental results show that the resulting map is stable, improves its quality over time and adapts to changes.

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 · 10.15607/rss.2005.i.003

Cites

1 of 1 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 1 references

Cited by

Metadata

Authors
Biber, P., & Duckett, T.
Venue
Robotics: Science and Systems I
Publisher
Robotics: Science and Systems Foundation
Published
2005-06-08
Volume
01
Pages
17-24
DOI
10.15607/rss.2005.i.003
OpenAlex
W3143919370
Cited by
334
References
1
FWCI
47.28
Type
conference paper
Language
en
Open access
gold

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

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.