Tohru Ide — accepted AI-conference papers

2024

Experimental Validation of a 7-DOF Power Soft Robot Driven by Hydraulic Artificial Muscles

Yunhao Feng, Tohru Ide, Hiroyuki Nabae, Gen Endo, Ryo Sakurai, Shingo Ohno +1

RA-L 2024

Hydraulic artificial muscles offer superior performance compared to most pneumatic artificial muscles, but their suitability in multi-DOF robotics remains unverified. We fabricated a 7-DOF power soft robot spanning over 1.5 m using 29 McKibben hydraulic artificial muscles. We analyzed the proposed r

Cited by 7 Source ↗Scholar ↗

2024

Vine-Like, Power Soft Gripper Based on Euler's Belt Theory

Hiroto Kodama, Tohru Ide, Yunhao Feng, Hiroyuki Nabae, Koichi Suzumori

RA-L 2024

Soft robots hold the potential for use in disaster sites where it is difficult to predict the external environment and the manipulation of irregularly shaped heavy objects is required. However, existing soft robots possess the low load capacity. Therefore, we propose a vine-like, power soft gripper

Cited by 5 Source ↗Scholar ↗