Yuta Shimane — accepted AI-conference papers

2026

Simulation of Adaptive Running With Flexible Sports Prosthesis Using Reinforcement Learning of Hybrid-Link System

RA-L 2026

This study proposes a reinforcement learning–based framework for adaptive running motion simulation in a unilateral transtibial amputee using a hybrid-link system that incorporates the flexibility of a leaf-spring-type sports prosthesis. The design and selection of sports prostheses typically rely o

Cited by 0 Source ↗Scholar ↗

2022

Application of Piece-wise Constant Strain Model to Flexible Deformation Calculation of Sports Prosthesis and Stiffness Estimation

Yuta Shimane, Taiki Ishigaki, Sunghee Kim, Yosuke Ikegami, Ko Yamamoto

IROS 2022poster

In this study, we present an application of the Piece-wise Constant Strain (PCS) model to a flexible deformation analysis of a sports prosthesis leg. Dynamic motion analysis of an athlete wearing a sports prosthesis is important to clarify a relationship between the prosthesis characteristics and th…

Cited by 3 Source ↗Scholar ↗