Design and Development of Intelligent AGV Using Computer Vision and Artificial Intelligence
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
AI, ML, and DL have a wide range of applications in advanced manufacturing, including in robotics and automated guided vehicles (AGVs).
“AI, ML, and DL have a wide range of applications in advanced manufacturing, including in robotics and automated guided vehicles (AGVs) [74] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [74]
Cited by
Sorted by citations
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
- Authors
- Sheth, S., Ajmera, A., Sharma, A., Patel, S., & Kathrecha, C.
- Corresponding author
- Sheth, Saurin
- Venue
- Advances in Intelligent Systems and Computing
- Publisher
- Springer Singapore
- Published
- 2017-11-25
- Pages
- 337-349
- ISSN
- 2194-5357 (ISSN-L)
- 2194-5365
- OpenAlex
- W2769819642
- Cited by
- 19
- References
- 0
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 5 · 2020: 1 · 2019: 2 · 2018: 1
- FWCI
- 2.32
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Advances in intelligent systems and computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Robotic Path Planning Algorithms
- Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Manufacturing and Logistics Optimization
- Keywords
- automated guided vehicles, AGV navigation, path planning, RRT*, A* algorithm, obstacle detection, shape detection, edge detection, robot pose estimation, overhead camera, material handling, waypoint generation, reactive oxygen species
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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