Cited by 264Robotic Path Planning AlgorithmsControl and Dynamics of Mobile RobotsReinforcement Learning in Robotics

A dynamical system approach to realtime obstacle avoidance

Open access
Khansari-Zadeh, Seyed Mohammad, Billard, Aude·2012·Autonomous Robots

Integrity signals

Registry

Crossref · 10.1007/s10514-012-9287-y

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Khansari-Zadeh, S. M., & Billard, A.
Affiliations
École Polytechnique Fédérale de Lausanne (CH)
Corresponding author
Khansari-Zadeh, Seyed Mohammad
Venue
Autonomous Robots
Published
2012-03-23
Volume
32
Issue
4
Pages
433-454
ISSN
  • 0929-5593 (ISSN-L)
  • 1573-7527
OpenAlex
W1994691148
Cited by
264
References
37
Citations by year
2026: 16 · 2025: 22 · 2024: 26 · 2023: 17 · 2022: 21 · 2021: 23 · 2020: 17 · 2019: 19 · 2018: 12 · 2017: 24 · 2016: 21 · 2015: 18 · 2014: 16 · 2013: 9 · 2012: 3
FWCI
15.16
Type
journal article
Language
en
Open access
Locations
  • Autonomous Robots (publishedVersion)
  • reroDoc Digital Library (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotic Path Planning Algorithms
  • Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
Keywords
real-time obstacle avoidance, dynamical systems, safety margin, non-autonomous systems, limit cycles, robot manipulator control

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