Aim　to　solve　the　path　planning　problem　of　mobile　robot　in　the　unknown　environment,　a　hybrid　learning　approach　is　proposed　for　the　robot　navigation　based　on　the　operant　conditioning　theory　and　the　principle　of　fuzzy　inference　system　and　learning　automata.　The　robot　is　endowed　with　the　capabilities　of　self-learning　and　self-adapting　with　unknown　environment　by　using　a　bionic　self-organizing　method.　Simulation　results　show　that,　compared　with　the　method　of　artifical　potential　field,　the　proposed　method　can　make　the　robot　learn　the　ability　of　obstacle　avoidance　and　goal　seeking　without　being　stuck　in　local　minima　and　oscillation.