CMU team uses physics-based models to bridge neuroscience and robotics
lukas_m_ziegler · x · 2026-08-27
Researchers from Carnegie Mellon University's NeuroMechatronics Lab are using physics-based models to bridge the gap between neuroscience and robotics. Starting with a biomechanics model designed to understand how coordinated muscle forces produce movement, the team examines forces and mechanics at the mechanical level—how neurons activate muscles, muscles generate force, and forces move limbs. They utilized MathWorks MATLAB's Simscape Multibody to build and simulate these mechanical systems, extended the approach to lower limbs, and investigated motor pathologies. This work also led to research on Artificial Physics Engines as they explored how biological neural networks organize themselves for sensorimotor computations.
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