Hoang Vinh Khang Nguyen
Papers
1
Total Citations
3
H-Index
1
About
Hoang Vinh Khang Nguyen is a robotics researcher whose work bridges motion capture, human-robot interaction, and real-time control systems. His most-cited paper, "Robot Gesture Control using Online Feedback Data with Multi-Tracking Capture System" (2023, 3 citations), introduces a novel approach to gesture-based robot control using a Vicon marker-based motion capture system. This method achieves wireless, low-latency control without requiring additional onboard hardware or power sources, enabling precise tracking of rigid-body motion in dynamic environments. Nguyen’s contributions lie in simplifying robot control interfaces through high-speed feedback loops, making gesture-driven operation more accessible and efficient. His work has implications for collaborative robotics, teleoperation, and assistive technologies, where intuitive control is critical. Though his citation count is still growing, the technical novelty of his approach—eliminating extra hardware while maintaining accuracy—marks a notable achievement in the field. Nguyen’s research is particularly relevant for students and engineers interested in motion tracking, control systems, and human-robot interaction, offering a practical pathway toward seamless, low-latency robotic control.
Research Focus
Key Achievements
Top Papers
- 1