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Hyun-Min Joe

2 accepted papers

2024

Learning-Based Force Control of Twisted String Actuators Using a Neural Network-Based Inverse Model

RA-L 2024

In this letter, we propose learning-based force control of twisted string actuators (TSAs) using a neural network-based inverse model. A learning-based force controller is designed using the input and output data of TSAs without a dynamic model of TSAs. Furthermore, the neural network-based inverse

Cited by 4SourceScholar
2019

Biped Robot Pelvis Kinematics Estimation based on the Touch-Point Updating Method

IROS 2019poster

This study proposes a biped-robot pelvis-kinematics estimator based on the touch-point updating method. Because the pelvis frame is used as the base coordinate for the control, the kinematics of it with respect to the global frame should be precisely estimated. To this end, it was necessary to know…

Cited by 1SourceScholar