Papers
9
Total Citations
95
H-Index
5
About
Ryan Krauss is a researcher whose work sits at the intersection of robotics, control theory, and accessible engineering education. His primary research areas include the modeling and control of flexible robots, real-time autonomous systems, and the application of the transfer matrix method (TMM) to complex mechanical structures. Krauss’s most significant contribution is his pioneering use of the TMM for flexible robots, which allows for computationally efficient, infinite-dimensional modeling without spatial discretization—a breakthrough that enables precise control design for systems with continuous elements like flexible links and noncollocated feedback. His most cited work, “Combining Raspberry Pi and Arduino to form a low-cost, real-time autonomous vehicle platform” (39 citations), demonstrates his commitment to democratizing robotics by creating affordable, real-time control platforms using off-the-shelf components. Krauss has also developed open-source Python modules for TMM-based modeling and control, making these advanced techniques accessible to students and researchers. His papers on pole-optimization control design and discrete-time TMM further showcase his ability to bridge theoretical rigor with practical implementation, earning him recognition as a key figure in flexible robotics and low-cost autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Transfer Matrix Modeling of Systems With Noncollocated Feedback14 citations · 2010
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- 6Stability in active mass damping control of a flexible robot4 citations · 2005
- 7A Python Module for Modeling and Control Design of Flexible Robots4 citations · 2007
- 8An Improved Technique for Modeling and Control of Flexible Structures4 citations · 2006
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