Meng-Fang Lu
Papers
3
Total Citations
15
H-Index
3
About
Meng-Fang Lu is a robotics researcher specializing in autonomous cleaning systems for large-scale indoor environments. His work addresses critical labor shortages and worker fatigue issues in the cleaning industry, particularly for nighttime operations. Lu’s key contributions include the design of an omni-directional wheeled robot for large-space cleaning tasks, which eliminates the need for human-operated vehicles or manual brooming during late-night shifts. He further advanced this technology with a tricycle-drive robot that uses laser scanners for obstacle avoidance, enabling safe, unattended operation in complex indoor spaces. His most notable achievement is the development of a high-endurance cleaning robot with scanning-based path planning and real-time path correction, significantly improving cleaning efficiency and reliability. Each of these three core papers has garnered 5 citations, reflecting steady interest in his practical solutions to real-world automation challenges. Lu’s work directly tackles the global demographic shift toward aging populations and declining birthrates, offering scalable robotic alternatives to reduce overwork and improve workplace safety. His research is particularly valuable for facility managers, robotics engineers, and students interested in service robotics, autonomous navigation, and human-centered automation design.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3