John Lataire
Papers
6
Total Citations
124
H-Index
4
About
John Lataire is a researcher working at the intersection of system identification, biomechanics, and robotics, with a particular focus on understanding and modeling dynamic, time-varying systems in both biological and mechanical contexts. His most influential work explores the estimation of joint impedance and stiffness during human movement, bridging the traditionally separate fields of biomechanics and system identification into unified, rigorous frameworks. His 2019 paper on a variable stiffness ankle actuator for robotic-assisted walking has garnered 52 citations, reflecting strong interest in his contributions to rehabilitation robotics and assistive technology. Lataire has made notable advances in frequency-domain and kernel-based methods for characterizing time-varying dynamics from noisy data, enabling more accurate identification of how muscles, tendons, and joints behave during movement — a longstanding open challenge in the field. His work extends to nonlinear system identification and the control of flexible link manipulators, demonstrating a broad engineering scope. Collectively, his publications highlight a career committed to developing mathematically sophisticated, experimentally validated tools that advance both our understanding of human motor control and the design of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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