Intelligence Agent Control Strategy Toward Eight Wheel-legged Wheelchair Robot

Abstract

The wheelchair robot as old and disabled people helper has becomes an instead of walking tool and changes their life. However, owing to motion mechanism complexities its controller research still faces a serious challenge to the development of the wheelchair robot. This paper addresses a cooperative strategy of developing efficient robotic control system in the presence of modeling intelligence agent methods and techniques. The configuration of eight wheel-legged wheelchair robot is given, and it includes three main modules, that is, the foreleg module, the hindleg module, and the seat module. They compose three executing agents for controlling wheelchair robot stair-climbing postures. An intelligence agent framework is used to describing the process of wheelchair robot work. The paper presents the agent control stragegies to be used as solving stable cone for wheelchair robot stair climbing. The simulation result has been analyized to enhance the relationship between human behavior sensing and obstacle detection computing.