Modelling and analysis of natural language controlled robotic systems

Abstract

© IFAC. Controlling a robotic system through natural language commands can provide great convenience for human users. Many researchers have investigated on high-level planning for natural language controlled robotic systems. Most of the methods designed the planning as open-loop processes and therefore cannot well handle unexpected events for realistic applications. In this paper, a closed-loop method is proposed for task-planning to overcome unexpected events occurred during implementation of assigned tasks. The designed system is modeled and theoretically proved to be able to stabilize the robotic system under unexpected events. Experimental results demonstrate effectiveness and advantages of the proposed method.