Kedi Xie

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About

Kedi Xie is a leading researcher in the field of space robotics, with a primary focus on the complex dynamics and control of dual-arm space robots. Their major contributions center on developing advanced trajectory planning methods that address critical challenges in orbital operations, particularly the need for high-precision motion while mitigating disturbances to the robot's base. Xie’s work introduces innovative solutions, such as acceleration-level planning to respect joint physical constraints (angle, velocity, acceleration) and pose feedback mechanisms to ensure accurate path tracking. These methods are essential for enabling reliable pre-capturing and manipulation tasks in microgravity environments. With their most-cited papers accumulating 18 and 14 citations respectively, Xie’s research has established a foundational framework for safe and efficient autonomous operations in space. Their notable achievements include pioneering the integration of kinematic error models with real-time feedback control, a significant step toward practical applications in satellite servicing and debris removal. For students and researchers, Xie’s work offers a compelling example of how theoretical kinematics can be translated into robust, constraint-aware algorithms for next-generation space missions.