Liying Su

About

Liying Su’s research focuses on the intersection of modular and flexible robotics, underactuated systems, and autonomous navigation. Her work addresses fundamental challenges in robot control, cooperation, and environmental perception. A key contribution is her study of collaborative assembly between two modular robots using optical position feedback, which demonstrated how real-time end-effector tracking can enable precise master-slave coordination—a foundational step for adaptive manufacturing systems. She also advanced the understanding of vibration controllability in underactuated flexible robots, providing essential dynamic models for systems with passive joints, and analyzed dynamic stress and fatigue in flexible manipulators, linking elastic deformation to structural durability. In autonomous robotics, Su developed a virtual centrifugal force-based navigation algorithm for exploration in unknown environments and improved particle filter methods for simultaneous localization and mapping (SLAM) in grid maps. Her work on topological map extraction from grid environments further supports efficient path planning. With over 40 citations across these areas, Su’s research has influenced both theoretical modeling and practical robot design. Notably, she has extended her expertise to biomedical applications, developing a video magnification algorithm for zebrafish larval heart localization, showcasing the versatility of her vision-based techniques.

Research Focus

Key Achievements

Top Papers

1. 1
   Collaborative Assembly Operation between Two Modular Robots Based on the Optical Position Feedback

   13 citations · 2009
2. 2
   Vibration controllability of underactuated robots with flexible links

   8 citations · 2006
3. 3
   A virtual centrifugal force based navigation algorithm for explorative robotic tasks in unknown environments

   7 citations · 2005
4. 4
   Analysis of Dynamic Stress and Fatigue Property of Flexible Robots

   3 citations · 2006
5. 5
   Simultaneous localization and map building based on improved particle filter in grid map

   3 citations · 2011
6. 6
   Extraction of Topological Map Based on the Characteristic Corners from Grid Environment Exploration

   3 citations · 2006
7. 7
   Zebrafish Larva Heart Localization Using a Video Magnification Algorithm

   2 citations · 2020
8. 8
   DYNAMIC MODELING AND COUPLING OF UNDERACTUATED FLEXIBLE ROBOT

   2 citations · 2006

Key Collaborators

Contact & Links