KEYWORDS: Object detection, Design and modelling, Image processing, Detection and tracking algorithms, Target detection, Sensors, Control systems, Mobile robots
To address the time-consuming and laborious task of picking up soccers, an intelligent soccer-picking robot is designed and implemented, which consists of three main parts: mechanical, electronic, and software design. The robot employs a four-wheel drive and hydraulic shock absorber structure to ensure fast and stable operation. The main body structure of the robot is built with aluminum alloy and PLA materials to reduce weight effectively. The Kendryte K210 chip is the main control chip to reduce power consumption and cost. A monocular camera is used to construct a map, and the YOLOX object detection model is used to detect various objects on the soccer field. The artificial potential field algorithm is improved to achieve optimal path planning for the robot. The robot is tested 80 times on a real soccer field, with a successful pickup rate of 92.5%, meeting the actual needs of soccer-picking and filling the gap in the soccer-picking robot market.
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