Papers
4
Total Citations
189
H-Index
3
About
Yen-Lin Chen’s research bridges educational technology and assistive robotics, with a focus on human-robot interaction and intelligent mobility systems. His most-cited work, “Impact of Using an Educational Robot-Based Learning System on Students’ Motivation in Elementary Education” (172 citations), provides critical empirical evidence that educational robots can significantly boost student motivation, addressing a longstanding gap in the field. Chen has also made substantial contributions to assistive robotics for the elderly and disabled, developing robotic walking-aid systems that combine mobility assistance, obstacle avoidance, and remote monitoring—innovations detailed in papers on human-robot interactive assistance and path planning using genetic algorithms. His work on real-coded genetic algorithms for mobile robot path planning further demonstrates his technical depth in autonomous navigation. By integrating practical, user-adaptive features with robust engineering, Chen’s research directly impacts real-world applications in education and healthcare. His studies offer valuable insights for researchers interested in how robotics can enhance learning environments and improve quality of life for vulnerable populations.
Research Focus
Key Achievements
Top Papers
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