Papers
2
Total Citations
6
H-Index
2
About
Manh-Tuan Ha is a robotics researcher whose work bridges control theory, sensor design, and real-time implementation. His key research areas include computed-torque control, input shaping for vibration suppression, and multi-axis force/torque sensing. In his 2015 paper, Ha demonstrated wireless-communicated computed-torque control for a SCARA robot and experimentally validated two-dimensional input shaping for a spherical pendulum—a notable achievement in reducing oscillations in flexible systems. His 2020 contribution on elastic structures for multi-axis force/torque sensors advances the design of compliant mechanisms for precise force measurement, critical for robotic manipulation and haptics. Though his citation counts are modest (3 each), his work reflects a hands-on, experimental approach that prioritizes practical validation over theoretical abstraction. Ha’s research is particularly relevant for students and engineers interested in real-time control systems, sensor integration, and the challenges of wireless communication in robotics. His focus on tangible, bench-top experiments offers a grounded perspective on how control algorithms and sensor hardware interact in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Elastic structure for a multi-axis forcetorque sensor3 citations · 2020