Michael Kotke

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About

Michael Kotke’s research bridges robotics and biochemistry, focusing on biologically inspired locomotion and molecular interactions. His key contributions include the design of WheeHy, a hybrid wheeled-legged robot that combines wheeled efficiency with legged adaptability, and SelSta, a self-stabilizing walking algorithm for humanoid robots inspired by biological motor control. These works, though modestly cited (3 and 2 citations respectively), demonstrate early innovation in integrating mechanical design with biological principles. Kotke’s most notable achievement lies in his exploration of Ni(II)•Xaa-Gly-His metallopeptides, which selectively bind to A/T-rich DNA minor grooves depending on amino acid composition and chirality. Using molecular dynamics simulations, he clarified binding orientations, offering insights for targeted DNA recognition. This dual expertise—spanning robotics and molecular biophysics—showcases Kotke’s interdisciplinary approach, addressing challenges from robot stability to DNA-binding specificity. His work serves as a foundation for future studies in adaptive robotics and metallopeptide design.