Papers
9
Total Citations
302
H-Index
7
About
Thomas Meurer is a leading researcher in robotics and automation, with key contributions spanning multi-agent formation control, robotic machining, and medical robotics. His work is distinguished by the integration of advanced control theory—particularly PDE-based methods using flatness and backstepping—with practical robotic applications. Meurer’s most cited paper (2020, 109 citations) demonstrates this by combining theoretical analysis with real robot experiments for formation control. He has made significant advances in robotic tooling, developing real-time freeform surface tracking (60 citations) and equidistant tool path planning for curved surfaces (42 citations), directly impacting manufacturing precision. In medical robotics, Meurer has pioneered image-based path planning and online command adaptation for robot-assisted orthopedic and trauma surgery, aiming to enhance surgical precision. His research also addresses industrial challenges, including sloshing-free transport of liquids (26 citations) and ontology-based automated disassembly systems (43 citations) for sustainable e-waste recycling. With a career spanning over a decade, Meurer’s work consistently bridges theoretical rigor and real-world deployment, earning him recognition as a key figure in modern robotics and automation.
Research Focus
Key Achievements
Top Papers
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- 3Towards ontology-based automated disassembly systems43 citations · 2010
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