Wen-Yung Li — accepted AI-conference papers

2021

Shape Recognition of a Tensegrity With Soft Sensor Threads and Artificial Muscles Using a Recurrent Neural Network

Wen-Yung Li, Atsushi Takata, Hiroyuki Nabae, Gen Endo, Koichi Suzumori

RA-L 2021

This letter proposes a novel method to accomplish shape recognition by utilizing a tensegrity structure with a soft sensor via a recurrent neural network (RNN). The combination of soft tensegrity and soft sensors make it capable of recognizing the deformation to reflect the shape of its surroundings

Cited by 11 Source ↗Scholar ↗

2020

New Soft Robot Hand Configuration With Combined Biotensegrity and Thin Artificial Muscle

Wen-Yung Li, Hiroyuki Nabae, Gen Endo, Koichi Suzumori

RA-L 2020

This letter proposes a particular tensegrity topology for a humanoid hand in which the motion of the hand is actuated using thin McKibben artificial muscles. The specific actuation pattern for this tensegrity hand with multiple degrees of freedom, which includes the location of the artificial muscle

Cited by 43 Source ↗Scholar ↗