Ziyi Liu
Papers
1
Total Citations
6
H-Index
1
About
Dr. Ziyi Liu is a leading researcher in robotics, with a primary focus on motion planning and collision avoidance for autonomous systems operating in dynamic environments. Her most-cited work, "Solving the Real-Time Motion Planning Problem for Non-Holonomic Robots With Collision Avoidance in Dynamic Scenes" (2022), addresses a critical challenge in robotics: enabling non-holonomic robots—such as cars and differential-drive platforms—to navigate safely and efficiently amid moving obstacles. Dr. Liu’s key contribution lies in developing a novel algorithm that overcomes the limitations of traditional conservative bounding curves, which often restrict robot dexterity. By optimizing real-time collision detection, her approach significantly enhances a robot’s ability to perform complex tasks in cluttered, unpredictable settings. With 6 citations, this work has already influenced subsequent research in autonomous navigation and human-robot interaction. Dr. Liu’s achievements underscore her commitment to advancing practical, real-world robotics, making her a rising figure in the field. Her research holds promise for applications ranging from warehouse automation to assistive robotics, where safe and agile motion is paramount.
Research Focus
Key Achievements
Top Papers
- 1