Duc Xuan Tran
Papers
1
Total Citations
5
H-Index
1
About
Duc Xuan Tran is a robotics researcher whose work centers on human-robot interaction, motion control, and the application of 3D sensing technologies to robotic systems. His most-cited paper, "Performance evaluation of an inverse kinematic based control system of a humanoid robot arm using MS Kinect" (2017), introduces a novel approach to controlling a self-developed humanoid robot arm by leveraging Microsoft Kinect as a 3D sensor. In this work, Tran demonstrates how human gestures and motions can be captured, analyzed, and mapped into joint variables through inverse kinematics, enabling intuitive and responsive robotic control. This contribution has garnered 5 citations, highlighting its relevance in the field of assistive and interactive robotics. Tran’s research bridges the gap between human motion and robotic actuation, offering practical solutions for real-time, sensor-driven control systems. His work is particularly valuable for students and researchers exploring low-cost, accessible platforms for humanoid robotics and gesture-based interfaces, showcasing a clear pathway from sensory input to precise robotic movement.
Research Focus
Key Achievements
Top Papers
- 1