Yuan Xianfeng

Design of a Cloud Robotics Visual Platform

In recent years, the vision of robot has got great development. Because of the low sampling rate and the heavy calculation burden, the vision is obstructed to apply for robot. In order to solve the above problem, in this paper, we present the Cloud Robotics Visual Platform(CRVP) for the development of robot vision. The main contributions of the paper are as follows. (1) The parallel computational model of Map/Reduce is used to decrease the image time cycle of image training and recognition. (2) The image recognition engine is built with the Service-Oriented Architecture. (3) The H264 encoding algorithm and the Real time protocol are adopted to realize the video transmitting. Finally, the experiment is done using ECS of Aliyun. The results show that the platform could effectively improve the robot image recognition cycle and offload the computing load.