Chen Kun Qi
Papers
1
Total Citations
4
H-Index
1
About
Chen Kun Qi is a researcher specializing in autonomous mobile robotics, with a particular focus on navigation and perception in unknown environments. His most cited work, "Mobile Robot Navigation Techniques Using Potential Field Method in Unknown Environments" (2014), introduces a navigation system that leverages artificial potential fields to guide robots toward predefined targets while dynamically detecting and mapping obstacles. A key innovation is the use of an artificial monocular vision system for object recognition and environmental mapping, enabling real-time adaptation without prior knowledge of the surroundings. Though his citation count stands at 4, this work represents a foundational contribution to the field of reactive navigation, offering a computationally efficient solution for robots operating in unstructured settings. Chen’s research bridges the gap between classical potential field methods and modern vision-based sensing, providing a practical framework for autonomous exploration. His work is particularly valuable for students and engineers developing low-cost, vision-driven robotic systems, demonstrating how simple sensor inputs can enable complex navigation behaviors in real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1