Embodied navigation with multi-modal information: A survey from tasks to methodology
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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.”
From Multimodal fusion and vision–language models: A survey for robot vision (2026) · cites this paper as [30]
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Li, X., Wang, Z., Yang, J., Wang, Y., & Jiang, S. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00254 · Cited by 61 · see citing works
Sub-Instruction Aware Vision-and-Language Navigation
Hong, Y., Rodríguez, C., Wu, Q., & Gould, S. J. (2020) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.271 · Cited by 60 · see citing works
Raychaudhuri, S., Wani, S., Patel, S., Jain, U., & Chang, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2021.emnlp-main.328 · Cited by 60 · see citing works
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
Zhu, W., Hu, H., Chen, J., Deng, Z., Jain, V., Ie, E., & Sha, F. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.229 · Cited by 60 · see citing works
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory
Vasudevan, A. B., Dai, D., & Gool, L. V. (2020) · International Journal of Computer Vision · doi:10.1007/s11263-020-01374-3 · Cited by 57 · see citing works
Executing Instructions in Situated Collaborative Interactions
Suhr, A., Yan, C., Schluger, J., Yu, S., Khader, H., Mouallem, M., Zhang, I., & Artzi, Y. (2019) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d19-1218 · Cited by 56 · see citing works
General Evaluation for Instruction Conditioned Navigation using Dynamic Time WarpingPreprint
Ilharco, G., Jain, V., Ku, A., Ie, E., & Baldridge, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1907.05446 · Cited by 56 · see citing works
Chasing Ghosts: Instruction Following as Bayesian State Tracking
Anderson, P., Shrivastava, A., Parikh, D., Batra, D., & Lee, S. (2019) · arXiv · doi:10.48550/arxiv.1907.02022 · Cited by 55 · see citing works
Dialfred: Dialogue-enabled agents for embodied instruction following
Gao, X., Gao, Q., Gong, R., Lin, K., Thattai, G., & Sukhatme, G. S. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3193254 · Cited by 55 · see citing works
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language NavigationPreprint
Deng, Z., Narasimhan, K., & Russakovsky, O. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.05655 · Cited by 55 · see citing works
Target-Driven Structured Transformer Planner for Vision-Language Navigation
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Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation
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ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
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Just Ask: An Interactive Learning Framework for Vision and Language Navigation
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Real-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning
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The StreetLearn Environment and DatasetPreprint
Mirowski, P., Banki-Horvath, A., Anderson, K., Teplyashin, D., Hermann, K. M., Malinowski, M., Grimes, M. K., Simonyan, K., Kavukcuoglu, K., Zisserman, A., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1903.01292 · Cited by 52 · see citing works
HOP+: History-Enhanced and Order-Aware Pre-Training for Vision-and-Language Navigation
Qiao, Y., Qi, Y., Hong, Y., Yu, Z., Wang, P., & Wu, Q. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2023.3234243 · Cited by 52 · see citing works
Building Cooperative Embodied Agents Modularly with Large Language Models
Zhang, H., Du, W., Shan, J., Zhou, Q., Du, Y., Tenenbaum, J. B., Shu, T., & Gan, C. (2023) · arXiv · doi:10.48550/arxiv.2307.02485 · Cited by 52 · see citing works
Dreamwalker: Mental Planning for Continuous Vision-Language Navigation
Wang, H., Liang, W. G., Gool, L. V., & Wang, W. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00998 · Cited by 50 · see citing works
Weakly-Supervised Multi-Granularity Map Learning for Vision-And-Language Navigation
Chen, P., Ji, D., Lin, K., Zeng, R., Lin, K., Tan, M., & Gan, C. (2022) · neural information processing systems · doi:10.52202/068431-2764 · Cited by 50 · see citing works
Vision-Dialog Navigation by Exploring Cross-Modal Memory
Zhu, Y., Zhu, F., Zhan, Z., Lin, B., Jiao, J., Chang, X., & Liang, X. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.01074 · Cited by 49 · see citing works
Scene-Intuitive Agent for Remote Embodied Visual Grounding
Lin, X., Li, G., & Yu, Y. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00696 · Cited by 48 · see citing works
On the Evaluation of Vision-and-Language Navigation Instructions
Zhao, M., Anderson, P., Jain, V., Wang, S., Ku, A., Baldridge, J., & Ie, E. (2021) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2021.eacl-main.111 · Cited by 45 · see citing works
ViNT: A Foundation Model for Visual Navigation
Shah, D., Sridhar, A., Dashora, N., Stachowicz, K., Black, K., Hirose, N., & Levine, S. (2023) · arXiv · doi:10.48550/arxiv.2306.14846 · Cited by 45 · see citing works
Adaptive Zone-aware Hierarchical Planner for Vision-Language Navigation
Gao, C., Peng, X., Yan, M., Wang, H., Yang, L., Ren, H., Li, H., & Liu, S. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.01432 · Cited by 43 · see citing works
Li, M., Xu, R.-Z., Yang, Z.-Y., Hong, W., An, X.-G., & Yeh, Y. (2023) · Applied Soft Computing · doi:10.1016/j.asoc.2023.111197 · Cited by 43 · see citing works
Learning Navigational Visual Representations with Semantic Map Supervision
Hong, Y., Zhou, Y., Zhang, R., Dernoncourt, F., Bui, T., Gould, S., & Tan, H. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00284 · Cited by 42 · see citing works
Reinforcement Learning-Based Visual Navigation With Information-Theoretic Regularization
Wu, Q., Xu, K., Wang, J., Xu, M., Gong, X., & Manocha, D. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.3048668 · Cited by 39 · see citing works
Kamath, A., Anderson, P., Wang, S., Koh, J. Y., Ku, A., Waters, A., Yang, Y., Baldridge, J., & Parekh, Z. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.01041 · Cited by 39 · see citing works
March in Chat: Interactive Prompting for Remote Embodied Referring Expression
Qiao, Y., Qi, Y., Zheng, Y., Liu, J., & Wu, Q. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01444 · Cited by 35 · see citing works
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation
Lin, C., Jiang, Y., Cai, J., Qu, L., Haffari, G., & Yuan, Z. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20059-5_22 · Cited by 35 · see citing works
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Li, J., & Bansal, M. (2023) · neural information processing systems · doi:10.52202/075280-0957 · Cited by 35 · see citing works
Navigating to Objects in Unseen Environments by Distance Prediction
Zhu, M., Zhao, B., & Kong, T. (2022) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros47612.2022.9981766 · Cited by 31 · see citing works
Memory-Adaptive Vision-and-Language Navigation
He, K., Jing, Y., Huang, Y., Lu, Z., An, D. U., & Wang, L. (2024) · Pattern Recognition · doi:10.1016/j.patcog.2024.110511 · Cited by 26 · see citing works
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation
Xiang, J., Wang, X., & Wang, W. Y. (2020) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2020.findings-emnlp.62 · Cited by 24 · see citing works
Multi-modal Discriminative Model for Vision-and-Language Navigation
Huang, H., Jain, V., Mehta, H., Baldridge, J., & Ie, E. (2019) · doi:10.18653/v1/w19-1605 · Cited by 22 · see citing works
Mehta, H., Artzi, Y., Baldridge, J., Ie, E., & Mirowski, P. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2001.03671 · Cited by 22 · see citing works
Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision
He, K., Huang, Y., Wu, Q., Yang, J., An, D. U., Sima, S., & Wang, L. (2021) · neural information processing systems · Cited by 21 · see citing works
VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation
Qiao, Y., Zheng, Y. H., & Wu, Q. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01416 · Cited by 20 · see citing works
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language NavigationPreprint
Li, J., & Bansal, M. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2305.19195 · Cited by 18 · see citing works
Soffer, J. (2001) · Theory & Psychology · doi:10.1177/0959354301115004 · Cited by 17 · see citing works
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language NavigationPreprint
Chen, P., Ji, D., Lin, K., et al. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2210.07506 · Cited by 16 · see citing works
Toward Avatar-Drone: A Human-Embodied Drone for Aerial Manipulation
Kim, D., & Oh, P. (2021) · International Conference on Unmanned Aircraft Systems (ICUAS) · doi:10.1109/icuas51884.2021.9476704 · Cited by 14 · see citing works
Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric ViewsPreprint
Cartillier, V., Ren, Z., Jain, N., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.01191 · Cited by 13 · see citing works
NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue
Kim, H., Li, J., & Bansal, M. (2021) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2021.emnlp-main.518 · Cited by 12 · see citing works
The RobotSlang Benchmark: Dialog-guided Robot Localization and NavigationPreprint
Banerjee, S., Thomason, J., & Corso, J. J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.12639 · Cited by 11 · see citing works
Cross-Lingual Vision-Language NavigationPreprint
Yan, A., Wang, X. E., Feng, J., Li, L., & Wang, W. Y. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.11301 · Cited by 10 · see citing works
A Framework for Learning to Request Rich and Contextually Useful Information from HumansPreprint
Nguyen, K., Bisk, Y., & Daumé, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.08258 · Cited by 7 · see citing works
Learning to Follow Directions in Street View
Hermann, K. M., Malinowski, M., Mirowski, P., Banki-Horvath, A., Anderson, K., & Hadsell, R. T. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i07.6849 · Cited by 6 · see citing works
1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)
An, D., Wang, Z., Li, Y., Wang, Y., Hong, Y., Huang, Y., Wang, L., & Shao, J. (2022) · arXiv · doi:10.48550/arxiv.2206.11610 · Cited by 6 · see citing works
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2 of the 145 references couldn’t be matched to a known paper.
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COD-SAM: Camouflage object detection using SAM
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AirVista-II: An Agentic System for Embodied UAVs Toward Dynamic Scene Semantic Understanding
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MatchNav: LLM-based enhanced description and instruction matching in vision-and-language navigation
Wang, C., Wei, S., & Juntong, Q. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103444 · Cited by 5 · see citing works
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Learning Bird’s Eye View scene graph and knowledge-inspired policy for embodied visual navigation
Luo, J. J., Zhang, J., Yang, J., Huang, S., & Cai, B. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.113959 · Cited by 2 · see citing works
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A User Purchase Trend Analysis Model Based on Self-Supervised Learning and CNN-LSTM Architecture
Ma, G., & Ye, X. (2025) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.377798 · Cited by 2 · see citing works
Audio-Guided Dynamic Modality Fusion with Stereo-Aware Attention for Audio-Visual Navigation
Li, J., Yu, Y., Wang, L., Sun, F., & Zheng, W. (2026) · Lecture notes in computer science · doi:10.1007/978-981-95-4445-5_24 · Cited by 2 · see citing works
Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments
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Liang, Y., Yang, C. L., Chen, Q., & Gao, Y. (2024) · International Forum on Electrical Engineering and Automation (IFEEA) · doi:10.1109/ifeea64237.2024.10878694
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Self-citationA Multi-Feature Fusion Model for Efficient and Accurate Painting Style Classification
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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
- Licence
- 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
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 ›
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