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Dongsu Shin

3 accepted papers

2025

A Three-Finger Adaptive Gripper With Finger-Embedded Suction Cups for Enhanced Object Grasping Mechanism

RA-L 2025

With the growth of logistics automation, there is an increasing demand for advanced grippers. This study presents a gripper that integrates suction cups into the fingertips to overcome the limitations of traditional robotic gripping methods. Designed with a 5-degree-of-freedom structure, the gripper

Cited by 4Source ↗Scholar ↗
2022

Hybrid Antagonistic System With Coiled Shape Memory Alloy and Twisted and Coiled Polymer Actuator for Lightweight Robotic Arm

RA-L 2022

Artificial muscles have been developed for various input power sources. Among them, thermally driven actuators can be easily actuated at a low voltage without an additional device using the Joule heating. Therefore, these actuators can be considered suitable for developing lightweight robots. Shape

Cited by 12Source ↗Scholar ↗
2022

Retractable Locking System Driven by Shape Memory Alloy Actuator for Lightweight Soft Robotic Application

RA-L 2022

Shape memory alloy actuators (SMA) are widely used in robots owing to their flexibility and light weight. However, there is a drawback in that SMAs need to be used as a bundle owing to their lower force density than the motor. In addition, SMAs require continuous current to maintain a contracted sta

Cited by 8Source ↗Scholar ↗
Dongsu Shin — accepted AI-conference papers · AIConfPaper