Papers
2
Total Citations
48
H-Index
2
About
Dr. Xiangling Shi is a leading researcher in robotics and optimal control, with a primary focus on the trajectory planning of industrial manipulators. Her work masterfully bridges kinematic and dynamic constraints to achieve high-performance robotic motion. Dr. Shi’s most significant contributions lie in the development of multi-objective optimization frameworks using quintic NURBS (Non-Uniform Rational B-Splines) interpolation. Her seminal 2016 paper, with 33 citations, pioneered a method for simultaneously optimizing time, energy, and smoothness—a critical advancement for efficient and durable robotic operation. She extended this work in a 2018 study (15 citations) by incorporating dynamic constraints and comparing advanced algorithms like NSGA-II and multi-objective particle swarm optimization. By addressing the "Time-Energy-Jerk" trade-off, Dr. Shi’s research provides practical, mathematically rigorous solutions for reducing wear and energy consumption in automated systems. Her work is essential reading for engineers and researchers seeking to push the boundaries of robot efficiency and precision in manufacturing and automation.
Research Focus
Key Achievements
Top Papers
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