Shaoyang Yan — accepted AI-conference papers

2024

Origami Actuator with Tunable Limiting Layer for Reconfigurable Soft Robotic Grasping

Yang Yang, Kejin Zhu, Yuan Xie, Shaoyang Yan, Juan Yi, Pei Jiang +3

IROS 2024poster

This paper presents a soft actuator inspired by origami and a tunable strain limiting layer, which is proposed for reconfigurable soft robotic grasping. Main structure of the actuator is based on Miura origami which generates extension under pressurized air while a limiting layer with tunable length…

Cited by 0 Source ↗Scholar ↗

2024

Self-Sensing Origami-Inspired Soft Twisting Actuators and Its Application in Soft Robots

Yang Yang, Shaoyang Yan, Yuan Xie, Yuchao Wang, Jia Liu, Yunquan Li +1

RA-L 2024

The good compliance of soft robots provides a reliable safety environment for human-robot interaction; however, it also creates challenges for adding sensors to soft robots. In this letter, we propose a self-sensing origami-inspired soft twisting actuator. The actuator is designed based on the struc

Cited by 13 Source ↗Scholar ↗