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About

Ying Liao is a researcher specializing in the kinematics, workspace analysis, and trajectory planning of free-floating space-robot systems. Her work addresses fundamental challenges in space robotics, particularly the nonholonomic constraints and dynamic coupling that distinguish these systems from industrial robots. Liao’s major contributions include developing a novel, systematic method based on screw theory to solve position-level kinematic problems for free-floating space robots—a previously underexplored area due to its complexity. She also proposed a modified Virtual Manipulator (VM) method for calculating the workspace of planar dual-arm space robots, enabling classification and analysis of their reachable and dexterous spaces. In trajectory planning, Liao introduced an approach that integrates screw theory with optimal berth position selection, allowing simultaneous optimization of end-effector pose and base attitude. Her most-cited work, “Kinematical Research of Free-Floating Space-Robot System at Position Level Based on Screw Theory” (2019), has garnered 9 citations, reflecting its foundational impact. Though her citation counts are modest, Liao’s research provides essential theoretical tools for advancing autonomous space operations, including satellite servicing and debris removal.