Andreas Mueller
Papers
15
Total Citations
245
H-Index
8
About
Andreas Mueller is a versatile robotics researcher whose work spans a rich spectrum of topics, including rehabilitation robotics, robot kinematics and dynamics, robust control, and space robotics. He is perhaps best recognized for his contributions to the modeling and control of series-parallel hybrid robotic systems, developing analytical and modular software frameworks that address the considerable challenges posed by these mechanically complex architectures — work that has attracted nearly 50 citations across multiple publications. His 2018 study on EMG-based gait phase classification using support vector machines (57 citations) demonstrates his ability to bridge intelligent signal processing with assistive robotics, advancing wearable systems for movement disorder rehabilitation. Mueller has also contributed to foundational robotics education through engagement with modern robotics textbooks, and his research extends to frontier applications such as robotic active debris removal in space and force-controlled surface finishing in manufacturing. His earlier work on robust control theory provided grounding in the mathematical foundations that underpin many of his applied pursuits. Collectively, Mueller's portfolio reflects a researcher who moves fluidly between theoretical rigor and practical implementation, making meaningful contributions across multiple subfields that continue to shape contemporary robotics research and application.
Research Focus
Key Achievements
Top Papers
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- 2Modern Robotics: Mechanics, Planning, and Control [Bookshelf]51 citations · 2019
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