Qiong Yuan

Papers

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About

Qiong Yuan is a robotics researcher whose work focuses on solving complex inverse kinematics problems for redundant manipulators. Her key research areas include robotic motion planning, optimization algorithms, and manipulator control. Yuan’s major contribution is the development of an improved Dung Beetle Optimization (I-DBO) algorithm for 7-degree-of-freedom redundant manipulators, which enhances the ability of these robots to move freely and adapt to their environments. By establishing a scene fitness function and incorporating Tent chaotic mapping, her algorithm achieves more efficient and accurate inverse kinematics solutions compared to traditional methods. This work, published in 2024, addresses a fundamental challenge in robotics and has already garnered attention with its first citation. Yuan’s research is particularly valuable for applications requiring flexible, adaptable robotic systems, such as manufacturing and service robotics. Her innovative approach to optimization algorithms demonstrates her ability to draw inspiration from nature to solve engineering problems, making her a promising researcher in the field of robotic motion planning and control.