AUTHOR=Sharbafi Maziar A. , Seyfarth Andre , Zhao Guoping TITLE=Locomotor Sub-functions for Control of Assistive Wearable Robots JOURNAL=Frontiers in Neurorobotics VOLUME=11 YEAR=2017 URL=https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2017.00044 DOI=10.3389/fnbot.2017.00044 ISSN=1662-5218 ABSTRACT=

A primary goal of comparative biomechanics is to understand the fundamental physics of locomotion within an evolutionary context. Such an understanding of legged locomotion results in a transition from copying nature to borrowing strategies for interacting with the physical world regarding design and control of bio-inspired legged robots or robotic assistive devices. Inspired from nature, legged locomotion can be composed of three locomotor sub-functions, which are intrinsically interrelated: Stance: redirecting the center of mass by exerting forces on the ground. Swing: cycling the legs between ground contacts. Balance: maintaining body posture. With these three sub-functions, one can understand, design and control legged locomotory systems with formulating them in simpler separated tasks. Coordination between locomotor sub-functions in a harmonized manner appears then as an additional problem when considering legged locomotion. However, biological locomotion shows that appropriate design and control of each sub-function simplifies coordination. It means that only limited exchange of sensory information between the different locomotor sub-function controllers is required enabling the envisioned modular architecture of the locomotion control system. In this paper, we present different studies on implementing different locomotor sub-function controllers on models, robots, and an exoskeleton in addition to demonstrating their abilities in explaining humans' control strategies.