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Sung Yol Yu

3 accepted papers

2024

Impact of Physical Parameters and Vision Data on Deep Learning-Based Grip Force Estimation for Fluidic Origami Soft Grippers

RA-L 2024

Knowing the gripping force being applied to an object is important for improving the quality of the grip, as well as preventing surface damage or breakage of fragile objects. In the case of soft grippers, however, an attaching or embedding of force/pressure sensors can compromise their adaptability

Cited by 4SourceScholar
2023

Deployable Soft Origami Modular Robotic Arm With Variable Stiffness Using Facet Buckling

RA-L 2023

Robots that share activity spaces or physically interact with humans typically benefit from appropriate payload capacity, extensible workspace, low weight, safety, and space efficiency. The soft origami design and mechanism can meet many of these beneficial factors; however, achieving a high payload

Cited by 29SourceScholar
2022

Deployable Soft Pneumatic Networks (D-PneuNets) Actuator With Dual-Morphing Origami Chambers for High-Compactness

RA-L 2022

Soft pneumatic networks (PneuNets) actuators are widely considered as a robotic solution for safety and simplicity, yet the trade-off relationship between output force and bulkiness limits usability. In this letter, we propose a deployable soft pneumatic networks (D-PneuNets) actuator consisting of

Cited by 23SourceScholar