Thi-Na Ta
Papers
2
Total Citations
7
H-Index
2
About
Thi-Na Ta is a robotics researcher whose work centers on the dynamic control and stability of humanoid robots and industrial manipulators. Her most cited paper, "Using Zero Moment Point preview control formulation to generate nonlinear trajectories of walking patterns on humanoid robots" (2015, 5 citations), tackles a fundamental challenge in bipedal locomotion: generating stable, nonlinear walking trajectories across varying ground conditions. By designing a desired Zero Moment Point (ZMP) trajectory and deriving the corresponding Center of Mass (CoM) path, Ta contributed a rigorous control framework that enhances robot balance and adaptability—a critical step toward deploying humanoids in real-world environments. In a subsequent study (2018, 2 citations), she expanded her focus to dynamic analysis and kinematic control of hydraulic machinery and industrial robotic arms, bridging theoretical mechanics with practical automation. Though her citation counts are modest, Ta’s work reflects a deep engagement with core problems in robotics: stability, trajectory generation, and system dynamics. Her research is particularly valuable for students and engineers exploring the intersection of control theory and mechanical design in legged and industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 2