MIMIC-B: Understanding, modelling and artificially mimicking the complexities of human balance

Abstract

Human balance is a dynamic and multifaceted process shaped by the continuous interaction between sensory inputs and motor responses. The MIMIC-B project aims to unravel these complexities by deeply analyzing how balance is controlled and maintained, with the goal of translating this knowledge into advanced models for exoskeleton control.

To achieve this, we will develop predictive models of balance regulation that integrate sensory-motor dynamics using tools such as OpenSim. By simulating the role of the center of mass as the control variable, we aim to capture the interplay between proprioception, joint stiffness, and neuromuscular coordination. These models will be informed by experimental data from both healthy individuals and patients with balance impairments, allowing us to identify key control strategies and their variability across populations.

This modelling framework will serve as the foundation for designing bioinspired controllers capable of mimicking human-like balance responses, ultimately enabling more adaptive and intuitive robotic assistance.