scholarly journals Method of ripe tomato detecting for a harvesting robot

2019 ◽  
Author(s):  
Olga M. Ogorodnikova ◽  
Waddah Ali
Keyword(s):  
Ripe Tomato ◽  
Harvesting Robot

scholarly journals The Design and Realization of Cherry Tomato Harvesting Robot Based on IOT

2016 ◽  
Vol 12 (12) ◽  
pp. 23 ◽  
Author(s):  
Biqing Li ◽  
Yongfa Ling ◽  
Hongyan Zhang ◽  
Shiyong Zheng
Keyword(s):  
Image Recognition ◽  
Recognition Rate ◽  
Control Technology ◽  
Original Image ◽  
Cherry Tomato ◽  
Modular Control ◽  
Breakage Rate ◽  
Harvesting Efficiency ◽  
Technology Processes ◽  
Harvesting Robot

To improve the efficiency of harvesting cherry tomato and reduce its breakage rate, we design a harvesting robot base on image recognition and modular control. After image acquisition with IOT technology, the binary processing and expansion and corrosion processing of original image can effectively increase the fruit recognition rate. In addition, the use of fuzzy control technology processes the response error of manipulator. We test the performance of cherry tomato harvesting robot through harvesting experiment. The experimental results show that the harvesting efficiency significantly improves and the degree of crushing cherry tomato greatly reduces after using the cherry tomato harvesting robot.

A Machine Vision for Tomato Cluster Harvesting Robot

2008 ◽  
Author(s):  
Naoshi Kondo ◽  
Kazuya Yamamoto ◽  
Koki Yata ◽  
Mitsutaka Kurita
Keyword(s):  
Machine Vision ◽  
Harvesting Robot

scholarly journals Towards an Efficient Tomato Harvesting Robot: 3D Perception, Manipulation, and End-Effector

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 17631-17640
Author(s):  
Jongpyo Jun ◽  
Jeongin Kim ◽  
Jaehwi Seol ◽  
Jeongeun Kim ◽  
Hyoung Il Son
Keyword(s):  
3D Perception ◽  
End Effector ◽  
Harvesting Robot

Development of a Tomato Harvesting Robot: Peduncle Recognition and Approaching

2021 ◽  
Author(s):  
Nikolaos Kounalakis ◽  
Emmanouil Kalykakis ◽  
Manos Pettas ◽  
Alexandros Makris ◽  
Manolis M. Kavoussanos ◽  
...  
Keyword(s):  
Harvesting Robot

Research Progress of Urban Dual-arm Humanoid Grape Harvesting Robot

2021 ◽  
Author(s):  
Yun Peng ◽  
Jizhan Liu ◽  
Binbin Xie ◽  
Haiyong Shan ◽  
Meng He ◽  
...  
Keyword(s):  
Research Progress ◽  
Dual Arm ◽  
Harvesting Robot

scholarly journals Collision-Free Path-Planning for Six-DOF Serial Harvesting Robot Based on Energy Optimal and Artificial Potential Field

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Lufeng Luo ◽  
Hanjin Wen ◽  
Qinghua Lu ◽  
Haojie Huang ◽  
Weilin Chen ◽  
...  
Keyword(s):  
Path Planning ◽  
Potential Field ◽  
Test System ◽  
Planning Method ◽  
Artificial Potential Field ◽  
Optimal Method ◽  
Planning Algorithm ◽  
Six Dof ◽  
Searching Method ◽  
Harvesting Robot

Collision-free autonomous path planning under a dynamic and uncertainty vineyard environment is the most important issue which needs to be resolved firstly in the process of improving robotic harvesting manipulator intelligence. We present and apply energy optimal and artificial potential field to develop a path planning method for six degree of freedom (DOF) serial harvesting robot under dynamic uncertain environment. Firstly, the kinematical model of Six-DOF serial manipulator was constructed by using the Denavit-Hartenberg (D-H) method. The model of obstacles was defined by axis-aligned bounding box, and then the configuration space of harvesting robot was described by combining the obstacles and arm space of robot. Secondly, the harvesting sequence in path planning was computed by energy optimal method, and the anticollision path points were automatically generated based on the artificial potential field and sampling searching method. Finally, to verify and test the proposed path planning algorithm, a virtual test system based on virtual reality was developed. After obtaining the space coordinates of grape picking point and anticollision bounding volume, the path points were drew out by the proposed method. 10 times picking tests for grape anticollision path planning were implemented on the developed simulation system, and the success rate was up to 90%. The results showed that the proposed path planning method can be used to the harvesting robot.

Path Planning of Tomato Cluster Harvesting Robot for Realizing Low Vibration and Speedy Transportation

2009 ◽  
Vol 2 (3) ◽  
pp. 108-115 ◽  
Author(s):  
Naoshi Kondo ◽  
Koichi Tanihara ◽  
Tomowo Shiigi ◽  
Hiroshi Shimizu ◽  
Mitsutaka Kurita ◽  
...  
Keyword(s):  
Path Planning ◽  
Harvesting Robot

Abscission Point Extraction for Ripe Tomato Harvesting Robots

2012 ◽  
Vol 18 (6) ◽  
pp. 751-763 ◽  
Author(s):  
Lvwen Huang ◽  
Simon X. Yang ◽  
Dongjian He
Keyword(s):  
Ripe Tomato
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