Modeling Non-Cooperative Human-Automation Interaction in a Haptic Shared Control Framework 2019-01-0938
Haptic shared control is expected to achieve a smooth collaboration between humans and automated systems, because haptics facilitate mutual communication. This paper addresses a the interaction between the human driver and automation system in a haptic shared control framework using a non-cooperative model predictive game approach. We focus on a scenario in which both human and automation system detect an obstacle but select different paths for avoiding it. For such a scenario, the open-loop and closed-loop Nash steering control solution is derived and the influence of the human driver's impedance and path following weights on the vehicle trajectory are investigated. It is shown that by modulating the impedance and the path following weight the control authority can be shifted between the human driver and the automation system.
Amirhossein Ghasemi, Arjun Yeravdekar
University of North Carolina Charlotte