Papers
3
Total Citations
59
H-Index
3
About
Ting-Ying Wu is a robotics researcher whose work centers on dynamic locomotion and advanced control of robotic systems. Her major contributions lie in the trajectory planning and control of legged robots, particularly in achieving stable hopping for one-legged articulated robots. In her most-cited work (2011, 32 citations), she investigated a unique underactuated phase where the robot’s foot rotates about an unactuated toe before takeoff, a design that enhances stability and mimics biological motion. This foundational research, alongside a closely related 2010 paper (20 citations), has informed the development of more agile and efficient legged robots. Wu has also advanced industrial robotics through her 2015 study (7 citations) on an adaptive neural network compensator for decoupling dynamic effects in macro-mini manipulators—systems where a small, high-speed end effector is mounted on a larger industrial arm. Her work bridges theoretical control challenges with practical robotic applications, demonstrating impact in both biomechanically-inspired locomotion and precision manipulation. With a total of over 59 citations across her key papers, Wu’s research continues to influence the fields of dynamic walking, hopping, and adaptive control, offering valuable insights for students and researchers in robotics and mechatronics.
Research Focus
Key Achievements
Top Papers
- 1Trajectory Planning of a One-Legged Robot Performing a Stable Hop32 citations · 2011
- 2Trajectory planning of a one-legged robot performing stable hop20 citations · 2010
- 3