Papers
4
Total Citations
17
H-Index
3
About
Ngo Lam Trung is a pioneering researcher in human-robot interaction (HRI) and service robotics, with a focus on creating intuitive, intelligent environments where humans and robots collaborate seamlessly. His work centers on the concept of "Kukanchi"—Interactive Human Space Design and Intelligence—a framework for building middleware that supports natural interactions between people, robots, and their surroundings. Trung’s major contributions include the development of the Kukanchi Middleware Architecture (2011, 5 citations), which addresses the limitations of existing robotic middleware for service robots, and his innovative approach to commonsense knowledge extraction for home robotic services (2014, 5 citations), enabling robots to understand tasks like "bring something" or "tidy things up." He also advanced gesture-based communication by designing a system for tracking and detecting pointing gestures in 3D space (2012, 4 citations), making HRI more natural than traditional input methods. Though his citation counts are modest, Trung’s work is foundational in bridging human cognition and robotic action, with his Kukanchi framework influencing subsequent research in ambient intelligence and service robotics. His achievements highlight a dedicated effort to make robots more perceptive and responsive in everyday human environments.
Research Focus
Key Achievements
Top Papers
- 1Architecture of Kukanchi Middleware5 citations · 2011
- 2
- 3Tracking and detection of pointing gesture in 3D space4 citations · 2012
- 4Architecture of Kukanchi Middleware: The second report3 citations · 2011