Visual servoing control is an effective means for robotic manipulator to complete complex tasks and the path planning method of the robotic manipulator autonomous operation in dynamic unstructured environment is the difficulty and key in the field of visual servoing control. Two types of constraints that exist in the visual servoing path planning in dynamic unstructured environment and the processing methods of constraints are analyzed. The relevant research progresses of path planning in visual servoing control of robotic manipulator at home and abroad are reviewed, and the deficiencies in convergence and stability of different methods of path planning are also analyzed. The future research direction is prospected based on current research progress.