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Soft Robotics Adaptive Gripper Design for Pitahaya Handling

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

Soft grippers have emerged as a promising solution for the handling of objects with diverse geometry. Efficient management and packaging of pitahaya (Hylocereus Undatus), particularly in export operations, pose significant challenges due to the high labor demands. This research addresses the increasing need for automation in agricultural processes to enhance both productivity and product quality. Although substantial research has been conducted on agricultural robotics, particularly mobile platforms, manipulators, and image recognition systems, the development of specialized gripping mechanisms for pitahaya remains underexplored. In this study, we present the design of a soft robotic gripper tailored for handling pitahaya. The gripper’s design is based on simulations using CAD tools, as well as stress and strain analysis performed on both the fruit and the manipulator to ensure a delicate and precise grip. The gripper’s functionality was validated using a KUKA KR10 robotic system, demonstrating its capability to process four boxes per minute, resulting in a 64% reduction in packing time.

Idioma originalInglés
Título de la publicación alojadaProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 2
Subtítulo de la publicación alojadaEmerging Technologies in Communication, Manufacturing, and Renewable Energy Systems
EditoresMarcelo V. Garcia, Carlos Nuñez, Carlos Gordón-Gallegos, John-Paul Reyes
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas957-971
Número de páginas15
ISBN (versión impresa)9783031988899
DOI
EstadoPublicada - 2026
Evento6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Ambato, Ecuador
Duración: 21 oct. 202425 oct. 2024

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen1532 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024
País/TerritorioEcuador
CiudadAmbato
Período21/10/2425/10/24

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

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