Ting Wang
Papers
1
Total Citations
3
H-Index
1
About
Ting Wang is a robotics researcher whose work focuses on the dynamics and control of underactuated bipedal locomotion systems. His research addresses one of the most challenging problems in robotics: achieving stable, periodic walking gaits in robots that have fewer actuators than degrees of freedom — systems known as underactuated robots. Wang's most notable contribution examines feedback controller design for a five-link planar biped robot, a configuration comprising two kneed legs and a torso with unactuated point feet. By carefully selecting appropriate system outputs for time-variant walking control, his work demonstrates how asymptotically stable and periodic walking gaits can be reliably achieved despite the inherent complexity of underactuation. This research provides meaningful insights into how biologically inspired locomotion constraints can be exploited mathematically to simplify control design for humanoid platforms. Though Wang's citation record remains emerging — with his key paper currently accumulating 3 citations — his contributions speak to foundational questions in legged robotics that continue to drive active research in motion planning, hybrid dynamical systems, and autonomous mobility. His work will be of particular interest to students and engineers exploring gait generation and stability analysis in humanoid and prosthetic robotics applications.
Research Focus
Key Achievements
Top Papers
- 1