Cited by 51Robotic Mechanisms and DynamicsMechanical Engineering Research and ApplicationsGaussian Processes and Bayesian Inference

Hybrid statistical modelling of the frequency response function of industrial robots

Nguyen, Vinh, Melkote, Shreyes·2021·Robotics and Computer-Integrated Manufacturing

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Crossref · 10.1016/j.rcim.2021.102134

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1 of 1 references verified0 citation errors · 0 not checkable

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  • Experiments in path planning and optimisation have been conducted for automatic object and 3D position detection, quasi-static path optimisation, image analysis, path smoothing, BIM, and accurate self-localisation in harsh industrial environments.

    “In the area of path planning and optimisation, experiments have been conducted for automatic object and 3D position detection [82] quasi-static path optimisation [83], image analysis [84], path smoothing [85], BIM [86], and accurate self-localisation in harsh industrial environments [80,81].”

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Authors
Nguyen, V., & Melkote, S.
Affiliations
Georgia Institute of Technology (US)
Corresponding author
Nguyen, Vinh
Venue
Robotics and Computer-Integrated Manufacturing
Publisher
Elsevier BV
Published
2021-08
Volume
70
Pages
102134
ISSN
0736-5845 (ISSN-L)
OpenAlex
W3129060003
Cited by
51
References
1
Citations by year
2026: 12 · 2025: 6 · 2024: 8 · 2023: 12 · 2022: 9 · 2021: 4
FWCI
3.55
Type
journal article
Language
en
Open access
closed
Locations
Robotics and Computer-Integrated Manufacturing (publishedVersion)
Funders
Boeing
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Robotic Mechanisms and Dynamics
  • Physical Sciences › Engineering › Mechanical Engineering › Mechanical Engineering Research and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Gaussian Processes and Bayesian Inference
Keywords
frequency response function, industrial robots, Gaussian process regression, operational modal analysis, experimental modal analysis, robotic milling, tool tip vibration, milling force, arm configuration, Bayesian inference

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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.

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