Chun-Chieh Lien
Papers
1
Total Citations
5
H-Index
1
About
Chun-Chieh Lien is a robotics researcher whose work focuses on advancing autonomous navigation and path planning for service robots. His most-cited paper, "Development of a high-endurance cleaning robot with scanning-based path planning and path correction" (2018, 5 citations), introduces a novel approach to improving cleaning robot efficiency by integrating real-time scanning for dynamic path correction. This contribution addresses a key challenge in mobile robotics: balancing endurance with accurate navigation in unstructured environments. Lien’s research emphasizes practical, high-endurance systems that can operate reliably over extended periods, making his work particularly relevant for industrial and domestic service applications. While his citation count is modest, his focus on robust, real-world solutions—such as combining scanning-based mapping with adaptive path correction—positions him as a contributor to the growing field of autonomous cleaning and maintenance robots. His work underscores the importance of bridging theoretical path planning with hardware constraints, offering insights for students and researchers interested in developing cost-effective, high-performance robotic systems for everyday tasks.
Research Focus
Key Achievements
Top Papers
- 1