Cited by 34Reinforcement Learning in RoboticsRobot Manipulation and LearningSpatial Cognition and Navigation

Embodied navigation with multi-modal information: A survey from tasks to methodology

Wu, Yuchen, Zhang, Pengcheng, Gu, Meiying, Zheng, Jin, Bai, Xiao·2024·Information Fusion

Integrity signals

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Crossref · 10.1016/j.inffus.2024.102532

Cites

143 of 143 references verified0 citation errors · 0 not checkable

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  • Bordes et al.'s introductory survey covers training paradigms and evaluation methods but is mainly a beginner-friendly guide and fails to address core challenges of multimodal fusion in robotic vision.

    “The introductory survey by Bordes et al. [30] covers training paradigms and evaluation methods, but is mainly intended as a beginnerfriendly guide and fails to address the core challenges of multimodal fusion in robotic vision.”

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Authors
Wu, Y., Zhang, P., Gu, M., Zheng, J., & Bai, X.
Affiliations
Beihang University (CN)
Corresponding author
Bai, Xiao
Venue
Information Fusion
Publisher
Elsevier BV
Published
2024-12
Volume
112
Pages
102532
ISSN
1566-2535 (ISSN-L)
OpenAlex
W4400258109
Cited by
34
References
145
Citations by year
2026: 12 · 2025: 20 · 2024: 2
FWCI
5.02
Type
journal article
Language
en
Open access
closed
Locations
Information Fusion (publishedVersion)
Funders
National Natural Science Foundation of China (62276016, 62372029)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
  • Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
Keywords
embodied navigation, embodied AI, language-guided navigation, route description, navigation tasks

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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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