Papers

3

Total Citations

24

H-Index

2

About

Ya-Ting Lee is a researcher dedicated to enhancing mobility and independence for individuals with physical disabilities and the elderly through intelligent robotic systems. Her primary research areas encompass assistive robotics, human-robot interaction, and swarm intelligence. Lee’s most notable contribution is the development of a fuzzy wall-following control system for wheelchairs, which enables safe, collision-free navigation in unknown environments using ultrasonic sensors—a work that has garnered 16 citations. She further advanced assistive technology by creating a self-reliance tool that integrates an electric wheelchair with a 6-axis robotic arm, controlled via hand posture, empowering users with greater autonomy (6 citations). In the domain of multi-robot systems, Lee has tackled distributed path planning for swarm mobile robots, employing the artificial bee colony algorithm to coordinate individual agents in shared spaces (2 citations). Her work bridges practical rehabilitation engineering with theoretical swarm robotics, offering scalable solutions for real-world challenges. Lee’s research is particularly impactful for students and engineers interested in human-centered robotics, demonstrating how fuzzy logic and bio-inspired algorithms can transform assistive devices into intelligent, adaptive companions.

Research Focus

Key Achievements

2
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy wall-following control of a wheelchair
16 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Taichung University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago