Cheng-Chun Kuan
Papers
1
Total Citations
2
H-Index
1
About
Cheng-Chun Kuan is a researcher focused on autonomous navigation and path planning for unmanned vehicles, with a particular emphasis on optimizing robotic movement in known environments. His most-cited work, "Planning a Shortest Path Based on Detour and Path Shortening" (2019), introduces a novel method that balances shortest-path efficiency with obstacle avoidance by incorporating detour and path-shortening strategies. This contribution addresses a critical challenge in point-to-point robotic navigation, offering a practical approach for real-world autonomous systems. While his citation count remains modest—with 2 citations for his primary paper—Kuan’s research lays foundational groundwork for improving the reliability and efficiency of autonomous vehicle routing. His work is particularly relevant for students and researchers exploring path planning algorithms, as it bridges theoretical optimization with practical obstacle avoidance. Kuan’s focus on known-environment navigation provides a stepping stone for future advancements in dynamic and unknown settings, making his contributions a valuable reference for those entering the field of autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Planning a Shortest Path Based on Detour and Path Shortening2 citations · 2019