Improved Genetic Algorithm for Dynamic Path Planning (original) (raw)

Navigation technology is key part in robot technology and the robotics, while path planning is one of the most important branches in robot navigation. Secure obstacle avoidance based on reasonable algorithms can be achieved by using a variety of sensors to collect environmental information. A new method integrating various of path planning approaches has been proposed in this paper to optimized robots’ moving path. Then it can improve their adaptive capacity. On this basis, mathematical optimization selection of fitness function in robot path planning with the help of improved genetic algorithm can raise the efficiency of arithmetic operations.