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.