Papers
21
Total Citations
260
H-Index
7
About
Myo Taeg Lim is a multidisciplinary robotics and control systems researcher whose work spans construction automation, autonomous driving, and advanced control theory. Best known for his pioneering contributions to robotic construction systems, his 2013 paper on robot-based steel beam assembly has garnered 116 citations, establishing him as a leading voice in applying automation to high-rise building construction. This work builds on his earlier foundational research developing robotic crane-based automation systems and specialized end-effectors for H-beam alignment, collectively addressing critical challenges of safety, cost reduction, and efficiency in the construction industry. Beyond construction robotics, Lim has made significant contributions to autonomous driving through obstacle-dependent Gaussian Model Predictive Control for path planning, and to control theory through his work on LQG methods for singularly perturbed discrete-time systems. His research portfolio further reflects impressive breadth, encompassing adaptive particle filtering, visual tracking under motion blur, medical endoscopy 3D imaging, rehabilitation robotics with adjustable stiffness actuators, and most recently, hierarchical control frameworks for wheeled-legged humanoid robots. This sustained output across decades demonstrates Lim's enduring commitment to bridging theoretical control methods with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 5Novel adaptive particle filter using adjusted variance and its application14 citations · 2010
- 6LQG Control for Nonstandard Singularly Perturbed Discrete-Time Systems13 citations · 2004
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