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Development of a tomato harvesting robot used in greenhouse

文献类型: 外文期刊

作者: Wang Lili 1 ; Zhao Bo 2 ; Fan Jinwei 1 ; Hu Xiaoan 2 ; Wei Shu 2 ; Li Yashuo 2 ; Zhou Qiangbing 2 ; Wei Chongfeng 3 ;

作者机构: 1.Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Agr Machinery Automat Detect & Control Robot Tech, Beijing 100124, Peoples R China

2.Chinese Acad Agr Mech Sci, State Key Lab Soil Plant Machine Syst Technol, Agr Mech, Beijing 100083, Peoples R China

3.Chinese Acad Agr Mech Sci, State Key

关键词: tomato harvesting robot;four-wheel independent steering;automatic navigation;binocular stereo vision system;obstacle avoidance;greenhouse

期刊名称:INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING ( 影响因子:2.032; 五年影响因子:2.137 )

ISSN: 1934-6344

年卷期: 2017 年 10 卷 4 期

页码:

收录情况: SCI

摘要: A tomato harvesting robot was developed in this study, which consisted of a four-wheel independent steering system, a 5-DOF harvesting system, a navigation system, and a binocular stereo vision system. The four-wheel independent steering system was capable of providing a low-speed steering control of the robot based on Ackerman steering geometry. The proportional-integral-derivative (PID) algorithm was used in the laser navigation control system. The Otsu algorithm and the elliptic template method were used for the automatic recognition of ripe tomatoes, and obstacle avoidance strategies were proposed based on the C-space method. The maximum average absolute error between the set angle and the actual angle was about 0.14 degrees, and the maximum standard deviation was about 0.04 degrees. The laser navigation system was able to rapidly and accurately track the path, with the deviation being less than 8 cm. The load bearing capacity of the mechanical arm was about 1.5 kg. The success rate of the binocular vision system in the recognition of ripe tomatoes was 99.3%. When the distance was less than 600 mm, the positioning error was less than 10 mm. The time needed for recognition of ripe tomatoes and pitching was about 15 s per tomato, with a success rate of about 86%. This study provides some insights into the development and application of tomato harvesting robot used in the greenhouse.

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