Dang Duy Khanh
Papers
1
Total Citations
2
H-Index
1
About
Dang Duy Khanh is a researcher specializing in autonomous robotics and human-robot interaction, with a particular focus on innovative navigation strategies. His key research areas include sound-based robot navigation, environmental interaction, and the development of controllers that leverage embedded environmental information rather than relying solely on pre-modeled surroundings. Khanh’s major contribution lies in his pioneering work on using sound fields and obstacle interaction to guide robot movement, as demonstrated in his 2021 study "Analysis and experiment of robot navigation by sound field using interaction with obstacles." This approach challenges conventional navigation paradigms by encoding navigational cues directly into the environment, potentially reducing computational overhead and enhancing adaptability in dynamic settings. While his most-cited paper has garnered 2 citations, its conceptual novelty marks a promising direction for cost-effective, real-world robotic systems. Khanh’s work is notable for bridging theory and experiment, offering a tangible method for robots to navigate without exhaustive environmental models—an achievement that holds potential for applications in search-and-rescue, exploration, and smart environments. His research continues to inspire further inquiry into minimalist, interaction-driven robotic control.
Research Focus
Key Achievements
Top Papers
- 1