ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems

The findings suggest that this framework provides an efficient and precise solution for foundation pit deformation prediction while offering new insights into multi-modal robotic perception and engineering monitoring applications.

Authors

Publication Details

Journal
Frontiers in Neurorobotics
Published
2025-04-01
DOI
https://doi.org/10.3389/fnbot.2025.1544694
Citations
1
Primary Topic
Domain Adaptation and Few-Shot Learning
Type
article
Field-Weighted Citation Impact
2.48
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article

ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems

Xiao Li, Tingting Li, Lin Wenbo
1 citations
Frontiers in Neurorobotics
Domain Adaptation and Few-Shot Learning
2.48
article

ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems

Xiao Li, Tingting Li, Lin Wenbo
article en
1 citations

Abstract

The findings suggest that this framework provides an efficient and precise solution for foundation pit deformation prediction while offering new insights into multi-modal robotic perception and engineering monitoring applications.

Frontiers in NeuroroboticsVol. 19
Openalex Percentile: Top 11%
Domain Adaptation and Few-Shot Learning
2.48
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ModuCLIP: multi-scale CLIP framework for predicting foundation pit deformation in multi-modal robotic systems — Xiao Li, Tingting Li, et al. · Frontiers in Neurorobotics (2025) | TGRS Research Map | TGRS