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

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Wireless-communicated computed-torque control of a SCARA robot and two-dimensional input shaping for a spherical pendulum
3 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Konkuk University, Hanoi University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago