Abstract
To realize the intelligent navigation and safe obstacle avoidance of the intelligent inspection robot in the complex environment of the 5G operation and maintenance centers, and build an accurate environment map, This paper designs an autonomous navigation system for 5G operation and maintenance center inspection robots based on the robot operating system ROS. During the navigation process of the inspection robot in a known environment, The A* algorithm with a new heuristic function is used for global path planning, and the improved DWA algorithm is used for local path planning. Based on the traditional DWA algorithm, a new distance evaluation function is added to optimize the obstacle avoidance effect of the inspection robot. It enables the robot to reach the target point faster and safer, and conduct related simulation experiments and real-environment experiments. The experimental results show that the method can realize the real-time dynamic obstacle avoidance of the robot in complex environments and reach the endpoint, and it can be closer to the global path planned by the A* algorithm. Guarantee the global optimal route.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
