文献类型： 外文期刊
作者： He, Liang 1 ; Sun, Yuhuan 1 ; Chen, Liping 1 ; Feng, Qingchun 1 ; Li, Yajun 1 ; Lin, Jiewen 1 ; Qiao, Yicheng 1 ; Zhao, Chunjiang 2 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing 100097, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Beijing Key Lab Intelligent Equipment Technol Agr, Beijing 100097, Peoples R China
关键词： Agricultural robot; Hand-eye coordination; Agronomic task; Target perception; Collision-free operation
期刊名称：ENGINEERING （ 影响因子：11.6； 五年影响因子：13.1 ）
ISSN： 2095-8099
年卷期： 2025 年 51 卷
页码：
收录情况： SCI
摘要： To address the rising global agricultural labor costs, there is an urgent need for robots to accomplish some complex agronomic tasks and break through the limitations of traditional machinery. Thus, robots are considered an essential support for the future smart agriculture. Given that agronomic targets, such as plants and animals, are living organisms with diverse growth patterns and physical characteristics, effective hand-eye coordination is crucial for robots to interact with these targets proficiently. This paper reviews the developments in hand-eye coordination technology for agricultural robots, focusing on its configuration, principles, and applications in target detection and manipulation, based on a review of research literature and technical specifications of commercial products. Furthermore, the ongoing challenges in hand-eye coordination for robotic operations in complex agronomic tasks are analyzed and summarized, and the potential trends for overcoming these challenges are predicted. Finally, this review aims to deepen understanding of agricultural robots' capabilities and inspire ongoing innovation to further their agricultural applications. (c) 2025 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- 相关文献
作者其他论文 更多>>
-
Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm
作者：Tang, Boyi;Zhao, Chunjiang;Tang, Boyi;Zhou, Jingping;Pan, Yuchun;Qu, Xuzhou;Cui, Yanglin;Liu, Chang;Li, Xuguang;Zhao, Chunjiang;Gu, Xiaohe;Li, Xuguang
关键词：Object detection; Maize seedlings; UAV RGB images; YOLOv5; Attention mechanism
-
Improving UASS pesticide application: optimizing and validating drift and deposition simulations
作者：Tang, Qing;Zhang, Ruirui;Chen, Liping;Zhang, Pan;Li, Longlong;Xu, Gang;Yi, Tongchuan;Tang, Qing;Zhang, Ruirui;Chen, Liping;Zhang, Pan;Li, Longlong;Xu, Gang;Yi, Tongchuan;Hewitt, Andrew
关键词：lattice Boltzmann method (LBM); unmanned aerial spraying systems (UASS); Pest management; pesticide drift and deposition; optimization
-
Hyperspectral transmittance imaging detection of early decayed oranges caused by Penicillium digitatum using NFINDR-JMSAM algorithm with spectral feature separating
作者：Cai, Letian;Chen, Liping;Li, Xuetong;Zhang, Yizhi;Shi, Ruiyao;Li, Jiangbo;Cai, Letian
关键词：Citrus; Decay detection; Hyperspectral transmittance imaging; NFINDR-JMSAM; Spectral separation
-
Construction of a stable YOLOv8 classification model for apple bruising detection based on physicochemical property analysis and structured-illumination reflectance imaging
作者：Zhang, Junyi;Chen, Liping;Cai, Zhonglei;Shi, Ruiyao;Cai, Letian;Li, Jiangbo;Zhang, Junyi;Luo, Liwei;Yang, Xuhai;Li, Jiangbo
关键词：Apple; Bruising detection; Physicochemical property analysis; Structured-illumination reflectance imaging; Deep learning model
-
YOLO-detassel: Efficient object detection for Omitted Pre-Tassel in detasseling operation for maize seed production
作者：Yang, Jiaxuan;Zhang, Ruirui;Ding, Chenchen;Chen, Liping;Xie, Yuxin;Ou, Hong;Yang, Jiaxuan;Zhang, Ruirui;Ding, Chenchen;Chen, Liping;Xie, Yuxin;Ou, Hong;Yang, Jiaxuan;Chen, Liping
关键词：Detasseling; Object detection; UAV; Deep learning; Maize hybrid seed production
-
Boosting Cost-Efficiency in Robotics: A Distributed Computing Approach for Harvesting Robots
作者：Xie, Feng;Xie, Feng;Li, Tao;Feng, Qingchun;Li, Tao;Feng, Qingchun;Chen, Liping;Zhao, Chunjiang;Zhao, Hui
关键词：5G network; computation allocation; edge computing; harvesting robot; visual system
-
Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering
作者：Xu, Bo;Zhao, Chunjiang;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao
关键词：tassel; 3D phenotyping; TreeQSM; genotyping; clustering
