Parallel Fin Ray Soft Gripper with Embedded Mechano-Optical Force Sensor
Eduardo Navas, Daniel Rodríguez-Nieto, Alain Antonio Rodríguez-González, Roemí Fernández
- Year
- 2025
- Citations
- 2
- Access
- Open access
Abstract
The rapid advancement in soft robotics over the past decade has driven innovation across the industrial, medical, and agricultural sectors. Among various soft robotic designs, Fin Ray-inspired soft grippers have demonstrated remarkable adaptability and efficiency in handling delicate objects. However, the integration of force sensors in soft grippers remains a significant challenge, as conventional rigid sensors compromise the inherent flexibility and compliance of soft robotic systems. This study presents a parallel soft gripper based on the Fin Ray effect, incorporating an embedded mechano-optical force sensor capable of providing linear force measurements up to 150 N. The gripper is entirely 3D printed using thermoplastic elastomers (TPEs), ensuring a cost-effective, scalable, and versatile design. The proposed sensor architecture leverages a gyroid lattice structure, yielding a near-linear response with an R2 value of 0.96 across two force regions. This study contributes to the development of sensorized soft grippers with improved force-sensing capabilities while preserving the advantages of soft robotic manipulators.
Keywords
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