Parallel evolutionary computing and 3-tier load balance of remote mining robot

Abstract

To realize nonferrous metals deposit mining remotely with mobile robot under unknown environment, parallel evolutionary computing and 3-tier load balance were proposed to overcome the efficiency problem of online evolutionary computing. A system of polar coordinates can be established on remote mining robot with the polar point of current position and the polar axis from the current point to goal point. With the polar coordinate system path planning of remote mining robot can be computed in a parallel way. From the results of simulations and analysis based on agent techniques, good computing quality can be guaranteed for remote mining robot, such as efficiency, optimization and robustness.