José Gómez-Tames — accepted AI-conference papers

2026

Accounting for the Interaction Between a Dummy Finger and Joint Modular Soft Actuators for Multi-Joint Support Using a Novel FEM-Based Approach

Pablo Enrique Tortós Vinocour, Shota Kokubu, Fuko Matsunaga, Yuxi Lu, Zhongchao Zhou, Naoki Kamijo +3

RA-L 2026

Soft actuators are safer than rigid robots for hand rehabilitation, yet their performance can be significantly affected by interactions that occur on multi-joint systems. Actuator–finger and actuator–actuator interactions can impact bending output and make actuator performance dependent on the actua

Cited by 0 Source ↗Scholar ↗

2024

Development of a Dual Function Joint Modular Soft Actuator and its Evaluation Using a Novel Dummy Finger Joint-Soft Actuator Complex Model

Pablo Enrique Tortós Vinocour, Shota Kokubu, Fuko Matsunaga, Yuxi Lu, Zhongchao Zhou, José Gómez-Tames +1

RA-L 2024

Soft actuators, made from soft materials, offer a safer alternative to rigid robots for use on hand rehabilitation devices. A current challenge is to ensure these actuators comply with human finger morphology. To gain better insights into actuator mechanics when worn on and interacting with human fi

Cited by 8 Source ↗Scholar ↗

2024

Machine-Learning-Based Accurate Finger Joint Stiffness Estimation With Joint Modular Soft Actuators

Fuko Matsunaga, Ema Oba, Ming-Ta Ke, Ya-Hsin Hsueh, Shao Ying Huang, José Gómez-Tames +1

RA-L 2024

Finger joint stiffness assessment is very important in quantifying the degree of disability in stroke patients and determining rehabilitation strategies and plans. However, the evaluation methods used in clinical practice rely heavily on the experience of clinicians. In our previous study, we adapte

Cited by 3 Source ↗Scholar ↗