Papers
1
Total Citations
5
H-Index
1
About
Yun-Wen Hu’s research focuses on autonomous robotics, intelligent control systems, and human–robot interaction, with a particular emphasis on practical applications in service and cleaning robotics. Their most notable contribution is the development of an obstacle avoidance system for large-scale indoor tricycle drive cleaning robots using laser scanners, published in 2017. This work addresses critical societal challenges posed by aging populations and labor shortages, proposing a nighttime cleaning solution that reduces human overwork and fatigue. The robot’s design integrates advanced sensor-based navigation to operate safely and efficiently in complex indoor environments. While the paper has garnered 5 citations, its real-world impact lies in its potential to transform labor-intensive cleaning industries. Hu’s research bridges the gap between theoretical robotics and deployable automation, showcasing a commitment to solving pressing social and economic problems through engineering innovation. Their work stands as a thoughtful response to global demographic shifts, offering a glimpse into the future of autonomous service robotics.
Research Focus
Key Achievements
Top Papers
- 1