Feng‐Chieh Lin

National Taipei University of Technology

Papers

1

Total Citations

6

H-Index

1

About

Dr. Feng-Chieh Lin is a leading researcher in multi-robot systems, service robotics, and energy-efficient autonomous navigation. His work addresses critical challenges in deploying robots within large-scale, complex environments, particularly focusing on the intersection of visual simultaneous localization and mapping (VSLAM) and sustainable operation. Dr. Lin’s most cited paper, “The Energy Efficiency Multi-Robot System and Disinfection Service Robot Development in Large-Scale Complex Environment” (2023, 6 citations), introduces innovative solutions to the persistent problem of energy depletion caused by prolonged VSLAM computation, as well as the risk of accidental localization failure. This contribution is pivotal for advancing the reliability and practicality of service robots in real-world settings, such as hospitals and public spaces. By tackling the trade-off between computational accuracy and battery life, Dr. Lin’s work directly supports the development of more robust, long-lasting autonomous systems. His research is not only technically rigorous but also highly applied, offering tangible pathways for integrating intelligent robots into everyday infrastructure. Dr. Lin’s focus on energy efficiency and system resilience marks him as a key innovator in the next generation of autonomous service robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
The Energy Efficiency Multi-Robot System and Disinfection Service Robot Development in Large-Scale Complex Environment
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Taipei University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago