Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation

Yangyifan Li; Haoyi Zhang; Xiaoming Teng; Muyang Li; Yi Chen

doi:10.1007/978-3-031-70684-4_23

Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation

Yangyifan Li, Haoyi Zhang, Xiaoming Teng, Muyang Li, Yi Chen^*

^*Corresponding author for this work

University of Liverpool

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

This paper introduces a Double-Flap Unmanned Aerial Vehicle（UAV）, utilizing Simultaneous Localization and Mapping (SLAM) technology, for an autonomous pollination system in crop farming. The UAV, with flapping wings generating thrust, adapts to 3D maneuvering by adjusting thrust size. Advanced perception technologies, including vision cameras and computer assistance, handle attitude control, target recognition, and path planning. By integrating SLAM algorithms with autonomous sensing, navigation, and control, the system reduces human intervention. It can identify obstacles, plan safe paths, and generate optimal trajectories and flight instructions in real-time. The paper details the vehicle's principle, airframe design, visual recognition, system design, key components, and algorithms. Experimental results show high maneuverability and performance in complex farmland environments, indicating potential for promoting agricultural modernization and sustainable development.

Original language	English
Title of host publication	Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
Editors	Anwar P.P. Abdul Majeed, Eng Hwa Yap, Pengcheng Liu, Xiaowei Huang, Anh Nguyen, Wei Chen, Ue-Hwan Kim
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	274-288
Number of pages	15
ISBN (Print)	9783031706837
DOIs	https://doi.org/10.1007/978-3-031-70684-4_23
Publication status	Published - 2024
Externally published	Yes
Event	11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 - Taicang, China Duration: 6 Dec 2023 → 8 Dec 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1132 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Country/Territory	China
City	Taicang
Period	6/12/23 → 8/12/23

Keywords

Navigational Protocol Strategies
Sensory Data Acquisition Techniques
SLAM Algorithms
Trajectory Optimization
UAV

Access to Document

10.1007/978-3-031-70684-4_23

Cite this

Li, Y., Zhang, H., Teng, X., Li, M., & Chen, Y. (2024). Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation. In A. P. P. Abdul Majeed, E. H. Yap, P. Liu, X. Huang, A. Nguyen, W. Chen, & U.-H. Kim (Eds.), Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications (pp. 274-288). (Lecture Notes in Networks and Systems; Vol. 1132 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70684-4_23

Li, Yangyifan ; Zhang, Haoyi ; Teng, Xiaoming et al. / Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology : Design, Algorithms, and Experimental Validation. Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. editor / Anwar P.P. Abdul Majeed ; Eng Hwa Yap ; Pengcheng Liu ; Xiaowei Huang ; Anh Nguyen ; Wei Chen ; Ue-Hwan Kim. Springer Science and Business Media Deutschland GmbH, 2024. pp. 274-288 (Lecture Notes in Networks and Systems).

@inproceedings{b769a40f7fa34d97b708663e4a21dce8,

title = "Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation",

abstract = "This paper introduces a Double-Flap Unmanned Aerial Vehicle（UAV）, utilizing Simultaneous Localization and Mapping (SLAM) technology, for an autonomous pollination system in crop farming. The UAV, with flapping wings generating thrust, adapts to 3D maneuvering by adjusting thrust size. Advanced perception technologies, including vision cameras and computer assistance, handle attitude control, target recognition, and path planning. By integrating SLAM algorithms with autonomous sensing, navigation, and control, the system reduces human intervention. It can identify obstacles, plan safe paths, and generate optimal trajectories and flight instructions in real-time. The paper details the vehicle's principle, airframe design, visual recognition, system design, key components, and algorithms. Experimental results show high maneuverability and performance in complex farmland environments, indicating potential for promoting agricultural modernization and sustainable development.",

keywords = "Navigational Protocol Strategies, Sensory Data Acquisition Techniques, SLAM Algorithms, Trajectory Optimization, UAV",

author = "Yangyifan Li and Haoyi Zhang and Xiaoming Teng and Muyang Li and Yi Chen",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 ; Conference date: 06-12-2023 Through 08-12-2023",

year = "2024",

doi = "10.1007/978-3-031-70684-4_23",

language = "English",

isbn = "9783031706837",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "274--288",

editor = "{Abdul Majeed}, {Anwar P.P.} and Yap, {Eng Hwa} and Pengcheng Liu and Xiaowei Huang and Anh Nguyen and Wei Chen and Ue-Hwan Kim",

booktitle = "Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications",

}

Li, Y, Zhang, H, Teng, X, Li, M & Chen, Y 2024, Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation. in APP Abdul Majeed, EH Yap, P Liu, X Huang, A Nguyen, W Chen & U-H Kim (eds), Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. Lecture Notes in Networks and Systems, vol. 1132 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 274-288, 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023, Taicang, China, 6/12/23. https://doi.org/10.1007/978-3-031-70684-4_23

Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation. / Li, Yangyifan; Zhang, Haoyi; Teng, Xiaoming et al.
Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. ed. / Anwar P.P. Abdul Majeed; Eng Hwa Yap; Pengcheng Liu; Xiaowei Huang; Anh Nguyen; Wei Chen; Ue-Hwan Kim. Springer Science and Business Media Deutschland GmbH, 2024. p. 274-288 (Lecture Notes in Networks and Systems; Vol. 1132 LNNS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology

T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023

AU - Li, Yangyifan

AU - Zhang, Haoyi

AU - Teng, Xiaoming

AU - Li, Muyang

AU - Chen, Yi

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - This paper introduces a Double-Flap Unmanned Aerial Vehicle（UAV）, utilizing Simultaneous Localization and Mapping (SLAM) technology, for an autonomous pollination system in crop farming. The UAV, with flapping wings generating thrust, adapts to 3D maneuvering by adjusting thrust size. Advanced perception technologies, including vision cameras and computer assistance, handle attitude control, target recognition, and path planning. By integrating SLAM algorithms with autonomous sensing, navigation, and control, the system reduces human intervention. It can identify obstacles, plan safe paths, and generate optimal trajectories and flight instructions in real-time. The paper details the vehicle's principle, airframe design, visual recognition, system design, key components, and algorithms. Experimental results show high maneuverability and performance in complex farmland environments, indicating potential for promoting agricultural modernization and sustainable development.

AB - This paper introduces a Double-Flap Unmanned Aerial Vehicle（UAV）, utilizing Simultaneous Localization and Mapping (SLAM) technology, for an autonomous pollination system in crop farming. The UAV, with flapping wings generating thrust, adapts to 3D maneuvering by adjusting thrust size. Advanced perception technologies, including vision cameras and computer assistance, handle attitude control, target recognition, and path planning. By integrating SLAM algorithms with autonomous sensing, navigation, and control, the system reduces human intervention. It can identify obstacles, plan safe paths, and generate optimal trajectories and flight instructions in real-time. The paper details the vehicle's principle, airframe design, visual recognition, system design, key components, and algorithms. Experimental results show high maneuverability and performance in complex farmland environments, indicating potential for promoting agricultural modernization and sustainable development.

KW - Navigational Protocol Strategies

KW - Sensory Data Acquisition Techniques

KW - SLAM Algorithms

KW - Trajectory Optimization

KW - UAV

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M3 - Conference Proceeding

AN - SCOPUS:85210885415

SN - 9783031706837

T3 - Lecture Notes in Networks and Systems

SP - 274

EP - 288

BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications

A2 - Abdul Majeed, Anwar P.P.

A2 - Yap, Eng Hwa

A2 - Liu, Pengcheng

A2 - Huang, Xiaowei

A2 - Nguyen, Anh

A2 - Chen, Wei

A2 - Kim, Ue-Hwan

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 6 December 2023 through 8 December 2023

ER -

Li Y, Zhang H, Teng X, Li M, Chen Y. Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation. In Abdul Majeed APP, Yap EH, Liu P, Huang X, Nguyen A, Chen W, Kim UH, editors, Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. Springer Science and Business Media Deutschland GmbH. 2024. p. 274-288. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70684-4_23

Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM Technology: Design, Algorithms, and Experimental Validation

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