M. Cody Priess
Papers
4
Total Citations
197
H-Index
4
About
M. Cody Priess is a researcher whose work bridges control theory, biomechanics, and bio-inspired robotics. His key research areas include inverse optimal control, human motor control, and the physics of aerial locomotion. Priess is best known for his seminal 2014 paper, "Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis," which has garnered 152 citations. In this work, he developed a rigorous framework for inferring the cost functions underlying observed control behaviors—a critical tool for reverse-engineering biological movement and designing autonomous systems. His contributions extend to experimental biomechanics, where he has advanced quantitative methods for assessing trunk and head–neck motor control, publishing reliability studies that underpin clinical and ergonomic applications. More recently, Priess has explored the remarkable aerial righting and landing strategies of wingless animals, from springtails to geckos, drawing inspiration for novel bio-inspired robots and shuttlecock-like decelerators. This work, published in 2023, has already attracted 13 citations and highlights his talent for translating biological principles into engineering solutions. Priess’s interdisciplinary impact is evident in the breadth of his citations, which span control engineering, rehabilitation science, and robotics.
Research Focus
Key Achievements
Top Papers
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