Tesi etd-01102025-180404 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
SARTI, ALBERTO
URN
etd-01102025-180404
Titolo
Vacuum-Driven Soft Grippers for Delicate Grasping: A Raspberry Harvesting Case
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
BIONICS ENGINEERING
Relatori
relatore Prof. Cianchetti, Matteo
relatore Prof. Hughes, Josie
correlatore Dott. Pagliarani, Niccolò
relatore Prof. Hughes, Josie
correlatore Dott. Pagliarani, Niccolò
Parole chiave
- agricultural robotics
- delicate object manipulation
- finite element modeling
- fragile crop handling
- pneumatic structures
- raspberry harvesting
- soft gripper
- soft robotics
- vacuum actuation
Data inizio appello
17/02/2025
Consultabilità
Non consultabile
Data di rilascio
17/02/2028
Riassunto
This thesis presents the development of a vacuum-actuated soft gripper designed for the gentle manipulation of fragile objects, with raspberry harvesting as a use case. The work encompasses the gripper's design, modeling, fabrication, and validation. Inspired by muscle-like pneumatic structures (VAMPs), the gripper features a cylindrical configuration to ensure stable and delicate grasping of objects.
Finite Element Modeling (FEM) was employed to analyze structural behavior, focusing on radial contraction and stress distribution under vacuum actuation. A physical prototype was fabricated and tested using a sensorized raspberry physical twin to evaluate the gripper's performance in terms of applied forces and potential damage to the fruit.
Field tests demonstrated the gripper's effectiveness in real-world conditions, followed by integration into a teleoperated robotic harvesting system. This work advances soft robotics in agriculture, offering an innovative solution for handling delicate crops and setting the stage for broader applications in automated systems.
Finite Element Modeling (FEM) was employed to analyze structural behavior, focusing on radial contraction and stress distribution under vacuum actuation. A physical prototype was fabricated and tested using a sensorized raspberry physical twin to evaluate the gripper's performance in terms of applied forces and potential damage to the fruit.
Field tests demonstrated the gripper's effectiveness in real-world conditions, followed by integration into a teleoperated robotic harvesting system. This work advances soft robotics in agriculture, offering an innovative solution for handling delicate crops and setting the stage for broader applications in automated systems.
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