Autonomous UAV Last-Mile Delivery in Urban Environments: A Survey on Deep Learning and Reinforcement Learning Solutions
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Autonomous delivery needs to be able to scale and adapt to changes.
“autonomous delivery also shows that it needs to be able to scale and adapt to changes”
From From Recommendations to Delegation: A Systematic Review Mapping Agentic AI in E-Commerce and Its Consumer Effects (2026) · cites this paper as [37]
Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474 · see citing works
You Only Look Once: Unified, Real-Time Object Detection
Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803 · see citing works
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Balaskas, S. (2026) · Information · doi:10.3390/info17030222 · Cited by 8 · see citing works
- Authors
- Guo, J., Zhou, Y., Burlion, L., Savkin, A. V., & Huang, C.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Rutgers, The State University of New Jersey (US)
- UNSW Sydney (AU)
- Corresponding author
- Huang, Chao
- Venue
- Control Engineering Practice
- Publisher
- Elsevier BV
- Published
- 2025-12
- Volume
- 165
- Pages
- 106491
- ISSN
- 0967-0661 (ISSN-L)
- OpenAlex
- W7077073215
- Cited by
- 13
- References
- 2
- Citations by year
- 2026: 12 · 2025: 1
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Control Engineering Practice (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
- Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
- Physical Sciences › Engineering › Building and Construction › Urban and Freight Transport Logistics
- Keywords
- unmanned aerial vehicles, last-mile delivery, urban logistics, autonomous delivery, deep learning, reinforcement learning, path planning, object detection, transfer learning, domain adaptation, model-based reinforcement learning, scalability, e-commerce delivery
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.
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