Design and Experimental Assessment of 3D-Printed Soft Grasping Interfaces for Robotic Harvesting

Robotic harvesters and grippers have been widely developed for fruit-picking tasks. However, existing approaches often fail to account for the fruit’s post-harvest condition, leading to premature decay due to excessive grasping forces. This study addresses this gap by designing and evaluating passive soft grasping interfaces for rigid robotic grippers, aiming to handle delicate fruits and vegetables while minimizing bruising. Using hyperelastic materials and 3D printing, four different interface designs, including Gyroid, Grid, Cubic, and Cross 3D patterns, were developed and tested. Experimental evaluations assessed surface adaptability, grasping force distribution, and post-harvest bruising effects. Results indicate that collapsible interface patterns greatly reduce grasping forces and offer lower bruising severity when compared to traditional rigid grippers. These findings suggest that hybrid soft-rigid grasping strategies offer a promising solution for improving fruit-handling efficiency in autonomous harvesting and pick-and-place operations.

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Publication Details

Journal
Agronomy
Published
2025-03-24
DOI
https://doi.org/10.3390/agronomy15040804
Citations
3
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
2.14
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article

Design and Experimental Assessment of 3D-Printed Soft Grasping Interfaces for Robotic Harvesting

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3 citations
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Modular Robots and Swarm Intelligence
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article

Design and Experimental Assessment of 3D-Printed Soft Grasping Interfaces for Robotic Harvesting

Luis Emmi, Eduardo Navas, Roemí Fernández, Kai Blanco, Daniel Rodríguez-Nieto
article en
3 citations

Abstract

Robotic harvesters and grippers have been widely developed for fruit-picking tasks. However, existing approaches often fail to account for the fruit’s post-harvest condition, leading to premature decay due to excessive grasping forces. This study addresses this gap by designing and evaluating passive soft grasping interfaces for rigid robotic grippers, aiming to handle delicate fruits and vegetables while minimizing bruising. Using hyperelastic materials and 3D printing, four different interface designs, including Gyroid, Grid, Cubic, and Cross 3D patterns, were developed and tested. Experimental evaluations assessed surface adaptability, grasping force distribution, and post-harvest bruising effects. Results indicate that collapsible interface patterns greatly reduce grasping forces and offer lower bruising severity when compared to traditional rigid grippers. These findings suggest that hybrid soft-rigid grasping strategies offer a promising solution for improving fruit-handling efficiency in autonomous harvesting and pick-and-place operations.

AgronomyVol. 15(4)
Consejo Superior de Investigaciones Científicas (ES), Centre for Automation and Robotics (ES), Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 15%
Modular Robots and Swarm Intelligence
2.14
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