Papers
6
Total Citations
159
H-Index
5
About
Miguel M. Serrano is a pioneering roboticist whose work bridges bio-inspired locomotion, biomechanics, and human motor development. His primary research areas include snake-like robot locomotion, terradynamics, and computer vision for movement analysis. Serrano’s most influential contribution is his study of how snakes achieve high maneuverability through modulation of orthogonal body waves during sidewinding—a paper with 106 citations that fundamentally advanced understanding of multiplane undulations in terrestrial environments. He further demonstrated how incorporating frictional anisotropy via artificial scales can enhance robotic snake performance, opening new design paradigms for limbless robots. Beyond robotics, Serrano developed a computer vision method to estimate infant leg poses from range images, enabling non-invasive monitoring of kicking patterns critical for assessing early motor development. His shape-centric modeling frameworks for lateral undulation, sidewinding, and traveling wave rectilinear gaits provide unified mathematical tools that simplify gait generation and control for snake-like robots. Serrano also contributed to upper-body motor skill assessment using robotic kinematic models. His work has been published in top venues including the *Proceedings of the National Academy of Sciences* and IEEE conferences, earning recognition for its interdisciplinary impact across robotics, biomechanics, and developmental science.
Research Focus
Key Achievements
Top Papers
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- 3Lower limb pose estimation for monitoring the kicking patterns of infants16 citations · 2016
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