Mei-Yung Chen
Papers
10
Total Citations
124
H-Index
6
About
Mei-Yung Chen is a distinguished researcher whose work bridges the critical intersection of robotics, control systems, and educational technology. His primary research areas encompass mobile robot navigation, robotic arm control, and innovative pedagogical approaches in science and technology education. Chen’s most significant contributions include pioneering work in collaborative learning within technological project design (43 citations), where he demonstrated how structured group work enhances engineering education outcomes. In robotics, he has developed sophisticated path planning algorithms for wheeled mobile robots, including a real-time Markov decision process-based approach (2023) and an enhanced navigation system using bidirectional RRT (2022). His adaptive control designs for linear delta robots and robotic arms, employing backstepping and sliding mode techniques, have advanced precision tracking in dynamic environments. Chen’s work on extracurricular clubs to vitalize creative learning (20 citations) showcases his commitment to educational innovation. With a total of over 120 citations across his most-cited works, Chen continues to influence both the theoretical foundations and practical applications of autonomous robotics and STEM education, making him a notable figure in these interconnected fields.
Research Focus
Key Achievements
Top Papers
- 1Collaborative learning in technological project design43 citations · 2010
- 2Design of Path Planning and Obstacle Avoidance for a Wheeled Mobile Robot27 citations · 2016
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- 5Adaptive Control of a Linear Delta Robot Based on Backstepping Design7 citations · 2018
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