A MULTI-SCENE ADAPTIVE CORRECTION AND POSITIONING METHOD FOR MOBILE OPERATION INTEGRATED ROBOT

Chen De, Yan Qingdong, Zhou Junxiong, Du Yixian, Wang Hai, and Li Shipeng

Keywords

Mobile operation integrated robots (MOIR), Adaptive correction and positioning (ACP), Clarity adaptive recognition

Abstract

The mobile operation integrated robot (MOIR) has the functions of walking freely in the workshop and perform accurate operation by installing actuator. In the practical engineering application, in order to meet the requirements of fast changeover in various working conditions, the end executor needs to have the function of correcting and positioning to achieve the purpose of rapid compatible production online. At present, technical engineers are generally required to operate the camera software, the servo robot software, the end actuator and the corresponding parameters to confirm multiple calibration positions of new products in the production of common industrial robots. Therefore, for practical engineering application, it is urgent to develop an adaptive correcting and positioning (ACP) method with a simple, effective control for real- time implementation. With that in mind, a simple multi-scene ACP method with the advantages of high accuracy, efficiency and reliability in complex work environment was proposed. The pose of the servo robot mounted on the MOIR converting automatically according to the new product size and features under the new working conditions. At the same time, combined with the clarity adaptive recognition algorithm, the system can clearly identify the detection features of the new target object, and store the pose information of the servo robot under the condition of maximum clarity. Finally, practical application experiments are carried out to validate the practicability.

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