Qin Gao — accepted AI-conference papers

2026

An Improved Path Planning Algorithm for Precise Fracture Reduction of an Orthopedic Robot

Qin Gao, Xiaoyong Wu, Jun Ding, Haoyong Yu, Shaoping Bai

RA-L 2026

Path planning is fundamental for controlling orthopedic robots and vital in ensuring surgical safety. To address the problem of low path-planning efficiency in traditional path planning methods, this work proposes an improved APF-RRT* algorithm for efficient path planning of fracture reduction. Firs

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2025

An Improved A-Star Algorithm for Path Planning in Robot-Assisted Long Bone Fracture Reduction

Qin Gao, Xiaoyong Wu, Jun Ding, Bo Yuan, Yujin Wang, Ruizhi Shu

IROS 2025

Long bone fractures are common clinical conditions, yet the development of robot systems for closed reduction surgery remains in its early stages. The key challenge in this field is the lack of an efficient and precise path planning algorithm. To address this issue, this study proposes an improved A

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