FruitTouch: A Perceptive Gripper for Gentle and Scalable Fruit Harvesting
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866908846964867072 |
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| author | Zhang, Ruohan Mirzaee, Mohammad Amin Yuan, Wenzhen |
| author_facet | Zhang, Ruohan Mirzaee, Mohammad Amin Yuan, Wenzhen |
| contents | The automation of fruit harvesting has gained increasing significance in response to rising labor shortages. A sensorized gripper is a key component of this process, which must be compact enough for confined spaces, able to stably grasp diverse fruits, and provide reliable feedback on fruit conditions for efficient harvesting. To address this need, we propose FruitTouch, a compact gripper that integrates high-resolution, vision-based tactile sensing through an optimized optical design. This configuration accommodates a wide range of fruit sizes while maintaining low cost and mechanical simplicity. Tactile images captured by an embedded camera provide rich information for real-time force estimation, slip detection, and softness prediction. We validate the gripper in real-world fruit harvesting experiments, demonstrating robust grasp stability and effective damage prevention. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18991 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | FruitTouch: A Perceptive Gripper for Gentle and Scalable Fruit Harvesting Zhang, Ruohan Mirzaee, Mohammad Amin Yuan, Wenzhen Robotics The automation of fruit harvesting has gained increasing significance in response to rising labor shortages. A sensorized gripper is a key component of this process, which must be compact enough for confined spaces, able to stably grasp diverse fruits, and provide reliable feedback on fruit conditions for efficient harvesting. To address this need, we propose FruitTouch, a compact gripper that integrates high-resolution, vision-based tactile sensing through an optimized optical design. This configuration accommodates a wide range of fruit sizes while maintaining low cost and mechanical simplicity. Tactile images captured by an embedded camera provide rich information for real-time force estimation, slip detection, and softness prediction. We validate the gripper in real-world fruit harvesting experiments, demonstrating robust grasp stability and effective damage prevention. |
| title | FruitTouch: A Perceptive Gripper for Gentle and Scalable Fruit Harvesting |
| topic | Robotics |
| url | https://arxiv.org/abs/2602.18991 |