Modeling and Simulation of a Fuzzy-Based Human Control Using an Interaction Model Between Human and Active Knee Orthosis

Abstract

Interaction models are computational representations of human beings interacting with robots and are useful tools in the modeling and simulation of human and robot controls. In this work we used an interaction model between human and an active knee orthosis, with a simulation algorithm in order to model and reproduce a fuzzy-based human control comparing it with a PID-based one. The results proved that this is a possible approach to model the human control used in simulations with interaction models, in addition to prove that computational methods are a flexible and agile tool to develop and model both robot and human controls.