This　paper　presents　a　fuzzy-based　intelligent　control　strategy　allowing　a　mobile　robot　to　safely　follow　a　given　person.　The　robot　is　embedded　with　two　sensors:　a　RFID　and　a　stereo　camera.　The　RFID　can　locate　the　given　person　with　an　ID　tag,　and　the　stereo　camera　can　be　used　to　detect　the　target.　Based　on　the　two　sensors,　a　robust　control　strategy　is　designed　according　to　the　target＇s　speed　and　his　distance　from　the　robot.　The　strategy　consists　of　two　fuzzy　controllers.　The　first　is　a　fuzzy　based　reference　linear　velocity　adjustment　controller,　and　the　other　is　a　fuzzy　based　turning-gain　adjustment　controller.　Up　to　the　results　from　the　two　controllers,　the　robot＇s　left　wheel　velocity　and　right　wheel　velocity　are　adaptively　varied　for　driving　the　robot　towards　the　target　as　soon　as　possible.　Moreover,　the　RFID　can　provide　a　wider　field　of　view　(FOV)　than　the　camera.　If　the　person　turns　out　of　the　FOV　of　the　camera,　the　control　strategy　will　drive　the　robot　towards　the　target　according　to　the　information　from　RFID　as　soon　as　possible.　Finally,　the　algorithm　is　evaluated　on　the　Pioeer3-DX,　and　it　shows　that　the　presented　algorithm　can　follow　the　target　robustly.　©　2013　IEEE.