A fuzzy logic navigated service mobile robot

Over past few decades, the society has seen the stunning transformation of low birth rate and dual-earner households. As a result more and more robots are design for helping people at home. However, most of them are design for specific tasks. This paper proposed an intelligence service robot aim to cope with wide range application in home. To let the robot move freely in home environment and reach one desired target position, two fuzzy logic control systems are proposed as autonomous navigation and obstacle avoidance. The distance information is proved by sonar sensor as the input of our fuzzy systems and the local navigation uses fuzzy logic to control the robot´s behavior. The results show the intelligence service robot is adaptive to different environment. The experimental results shows the system can effectively travelled under the effect of time delays over the network and sensor uncertainties.