To improve the ability of robot path planning in complex environment, a hybrid path planning method based on improved QPSO and Morphin algorithm is proposed. Firstly, using grid map establishes the environmental model and determines the starting point and the target point. Through the introduction of adaptive search strategy and crossover operation, the QPSO algorithm is improved to plan an optimal global path, the robot is walking according to the global path. When the unknown or dynamic obstacles are found, the Morphin algorithm is used to carry out the local path planning to avoid the obstacles and return to the original global path to continue walking for the target point. The simulation of Matlab and practical application verify the effectiveness and feasibility of the hybrid path planning method.