Neural-Dynamics-Based Path Planning of a Bionic Robotic Fish

Abstract

Without the ability of reversing, the bionic robotic fish has certain peculiarity compared with other robots, and it is more difficult to complete the specified tasks. Therefore, in this paper, a neural-dynamics-based path planning method applied to a bionic robotic fish is discussed. In this method, the target, obstacles and map are regarded as the pixel points under the coverage of the given area. Avoid the overlap of the pixel points of the target and the obstacles to realize the obstacle avoidance. The method is computationally intensive and adaptable, and the theoretical optimal path can be planned for various motion modes.