Cloud Robot Indoor and Outdoor Service Scheduling Decision Based on Expanded A* and Gaode Map Navigation

At present, the development prospect of robots is broad, and the types of robots are increasing day by day. Facing the scenario of multiple robots providing services, the problem of optimal service scheduling becomes more and more prominent. Optimal service scheduling for the cloud robot, this paper based on SOA architecture of cloud, the service type, the latitude and longitude of the ratings and service as the index, USES the circular area search algorithm(CAS),to determine the optimal service decisions, when certain cloud robot is scheduling, cloud service robots to applicants need planning between indoor and outdoor path, The outdoor path planning of cloud robot is carried out by amap navigation, and the indoor path planning is carried out by extended A * algorithm to realize the indoor and outdoor service scheduling of cloud robot. The experimental results show that the optimal service decision and indoor and outdoor scheduling task under CAS algorithm are realized by integrating the longitude and latitude, service score and service type of cloud robot when the service applicant applies for the cloud robot, which provides reference for the motion control of cloud robot.