Dinh Dang Khoa Le
Papers
2
Total Citations
7
H-Index
2
About
Dinh Dang Khoa Le is a robotics researcher whose work focuses on human-robot collaboration and autonomous construction systems. His most notable contribution is the development of the QUENDA-BOT, an autonomous robot designed for screw-fixing installation in timber building construction. This innovative system addresses critical workplace safety issues by reducing the risk of fatigue and back injuries among construction workers, demonstrating how robotics can transform physically demanding tasks in the construction industry. The paper has already garnered 5 citations, signaling growing interest in practical construction automation. Le’s research also extends to enhancing human-robot interaction through sophisticated intention prediction systems. His 2024 work introduces a novel framework that fuses 3D vector field data with gaze information to predict hand motion intentions in collaborative settings. This approach tackles the challenge of achieving precise, robust, and computationally efficient hand motion prediction despite the inherent unpredictability of human movement—a key step toward safer and more intuitive human-robot collaboration. With 2 citations already, this work is gaining traction in the robotics community. Le’s research bridges the gap between theoretical robotics and real-world applications, making him a promising voice in the future of autonomous construction and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2