Qu Li
Papers
4
Total Citations
10
H-Index
2
About
Qu Li is a rising researcher in the field of robotics, specializing in the kinematic modeling and motion planning of mobile robot manipulators and redundant robotic arms. Her major contributions lie in advancing control schemes from the traditional velocity level to the more complex acceleration level, addressing critical limitations in trajectory tracking and obstacle avoidance. Notably, she proposed the first kinematic model for two-wheeled mobile robot manipulators at the acceleration level, enabling smoother and more precise motion control. Her work on integration-enhanced repetitive path planning for omnidirectional robots and pseudo-inverse-based obstacle avoidance schemes has provided novel solutions for reducing computational load in multi-obstacle environments. With her most-cited paper (2024) already garnering 4 citations, Qu Li is establishing a strong impact in the robotics community, particularly for her innovative approaches to dimensionality reduction and acceleration-level control. Her research is essential reading for students and engineers working on autonomous navigation and manipulator control, offering practical frameworks for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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