The autonomous navigation method of the intelligent walking
robot in the complex environment is optimized, the proposed solution not only can realize stable and efficient
robot autonomous navigation, but also is greatly helpful for accurate operation of a mobile platform in the complex environment, and meanwhile, the
robot is helped to develop towards strong
artificial intelligence, so that the intelligent walking robot is more intelligent. The method mainly comprises the steps of building an intelligent walking robot platform based on the ROS, improving a narrow space white main navigation method of the intelligent walking robot, and improving a navigation
obstacle avoidance method of the intelligent walking robot in a high-dynamic obstacle environment.
Advantage direction scheduling coordination is added, independent movement is carried out before the robot carries out local
route planning, a wider operation space is searched for to optimize autonomous navigation of the robot, the autonomous movement ability and robustness of the robot are improved through optimization operation, efficient navigation and
obstacle avoidance in a complex environment are achieved, and the robot navigation efficiency is improved. The robot has more efficient and stable autonomous navigation capability, and the motion intelligence of the robot is greatly improved.