Linkage integrated fin ray gripper capable of safe adaptive grasping for tomato harvesting

Fruit harvesting is a labor-intensive process. However, the number of people working in the agricultural sector is steadily decreasing. To address this issue, the development of a fruit harvesting robot is essential. In this study, a novel gripper was developed to preserve the quality of harvested tomatoes by cutting the stems while providing soft adaptive grasping. The gripper was designed by combining a fin ray and linkage mechanism. The fin ray exhibits a soft adaptive behavior for safe grasping, which adaptively operates the linkage to cut the stem. To prevent damage to tomatoes, we propose a design method based on a pseudo-rigid body model to effectively distribute the grasping force of the fin ray. The linkage was designed considering the torque and rotation angle of the links. The fin ray design method was verified through experiments that compared the force distribution effectiveness of the optimized fin ray with that of other fin rays. A maximum cutting force of 13.9 N was measured in the experiments. The harvesting experiments conducted in a laboratory environment with real tomatoes demonstrated that the developed gripper was capable of harvesting tomatoes up to 73 mm in size. • A linkage integrated fin ray gripper to harvest tomatoes is presented. • A novel harvesting mechanism for adaptive stem cutting was developed. • The fin ray was optimized using the proposed design method. • The linkage was designed considering torque and rotation. • Experiments on fin ray performance and tomato harvesting were conducted.

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Publication Details

Journal
Computers and Electronics in Agriculture
Published
2025-02-21
DOI
https://doi.org/10.1016/j.compag.2025.110118
Citations
5
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
8.75
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article

Linkage integrated fin ray gripper capable of safe adaptive grasping for tomato harvesting

Tae-Yong Choi, Uikyum Kim, Boyang An
5 citations
Computers and Electronics in Agriculture
Smart Agriculture and AI
8.75
article

Linkage integrated fin ray gripper capable of safe adaptive grasping for tomato harvesting

Tae-Yong Choi, Uikyum Kim, Boyang An
article en
5 citations

Abstract

Fruit harvesting is a labor-intensive process. However, the number of people working in the agricultural sector is steadily decreasing. To address this issue, the development of a fruit harvesting robot is essential. In this study, a novel gripper was developed to preserve the quality of harvested tomatoes by cutting the stems while providing soft adaptive grasping. The gripper was designed by combining a fin ray and linkage mechanism. The fin ray exhibits a soft adaptive behavior for safe grasping, which adaptively operates the linkage to cut the stem. To prevent damage to tomatoes, we propose a design method based on a pseudo-rigid body model to effectively distribute the grasping force of the fin ray. The linkage was designed considering the torque and rotation angle of the links. The fin ray design method was verified through experiments that compared the force distribution effectiveness of the optimized fin ray with that of other fin rays. A maximum cutting force of 13.9 N was measured in the experiments. The harvesting experiments conducted in a laboratory environment with real tomatoes demonstrated that the developed gripper was capable of harvesting tomatoes up to 73 mm in size. • A linkage integrated fin ray gripper to harvest tomatoes is presented. • A novel harvesting mechanism for adaptive stem cutting was developed. • The fin ray was optimized using the proposed design method. • The linkage was designed considering torque and rotation. • Experiments on fin ray performance and tomato harvesting were conducted.

Computers and Electronics in AgricultureVol. 232
Korea Institute of Machinery & Materials (KR), Ajou University (KR)
Zero hunger
Openalex Percentile: Top 3%
Smart Agriculture and AI
8.75
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Linkage integrated fin ray gripper capable of safe adaptive grasping for tomato harvesting — Tae-Yong Choi, Uikyum Kim, et al. · Computers and Electronics in Agriculture (2025) | TGRS Research Map | TGRS