ObjectiveTo propose a path planning method for precise robot-assisted bronchial intervention. MethodsIn the MuJoCo dynamic simulation environment, a simulation model and a simulated bronchus model which could accurately represent the motion process of the robot were built. Based on the Informed RRT* algorithm, the known spatial information was used to improve the path planning method and the motion characteristics of the robot were simulated to verify the ability of the robot algorithm to reach the target position. ResultsIn the dynamic simulation environment, the robot could move as required, and could explore the target point of the planning task in a short time, and the position accuracy was improved by more than 50% compared with the existing electromagnetic navigation and other methods. ConclusionThe established simulation model can restore the motion of the robot, and the robot has the ability to move in the bronchial environment. The proposed method can precisely control the simulated robot to enter the more peripheral airway position. It has the advantages of accuracy and faster speed than traditional manual interventional surgery, and can be used for the human-machine coordinated control task of robot-assisted bronchoscopy.