Intelligent Logistics Robot Control System Based on ARM Architecture and Multi-Signal Acquisition Fusion
In order to solve the problems of large dynamic positioning deviation and optimal path optimization defect for intelligent logistics robot,an intelligent logistics robot control system based on Euclidean segmentation denoising and trilateral positioning theory was proposed.The control system adopts ARM embedded motherboard as the control core,integrating the high-speed data processing unit and the real-time operating system.The Euclidean segmentation algorithm is used to denoise the lidar scanning data,and the po-sition fitting technology is combined to improve the accuracy of dynamic positioning.In terms of path selection and obstacle avoidance planning,the system uses the efficient computing power of the ARM embedded motherboard to ensure the superiority of path deci-sion-making and the timely response of obstacle avoidance planning.In order to verify the performance of the control system,a com-parative experiment was carried out in an actual logistics warehouse environment.Experimental results show that with the trajectory planning and obstacle avoidance tasks,the response time of the system is 20％faster than that of the existing system on average,and the path deviation is reduced by 30％in the long-term operation test,indicating that the system has a better accuracy and real-time performance.
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维普
