Abstract
In order to effectively prevent sports injuries caused by collisions in basketball training, realize efficient shooting, and reduce collisions, the machine learning algorithm was applied to intelligent robot for path planning in this study. First of all, combined with the basketball motion trajectory model, the sport recognition in basketball training was analyzed. Second, the mathematical model of the basketball motion trajectory of the shooting motion was established, and the factors affecting the shooting were analyzed. Thirdly, on this basis, the machine learning-based improved Q-Learning algorithm was proposed, the path planning of the moving robot was realized, and the obstacle avoidance behavior was accomplished effectively. In the path planning, the principle of fuzzy controller was applied, and the obstacle ultrasonic signals acquired around the robot were taken as input to effectively avoid obstacles. Finally, the robot was able to approach the target point while avoiding obstacles. The results of simulation experiment show that the obstacle avoidance path obtained by the improved Q-Learning algorithm is flatter, indicating that the algorithm is more suitable for the obstacle avoidance of the robot. Besides, it only takes about 250 s for the robot to find the obstacle avoidance path to the target state for the first time, which is far lower than the 700 s of the previous original algorithm. As a result, the fuzzy controller applied to the basketball robot can effectively avoid the obstacles in the robot movement process, and the motion trajectory curve obtained is relatively smooth. Therefore, the proposed machine learning algorithm has favorable obstacle avoidance effect when it is applied to path planning in basketball training, and can effectively prevent sports injuries in basketball activities.
Highlights
IntroductionIn the process of training, there are more comprehensive requirements on the physical and competitive ability of athletes (Coglianese and Lehr, 2017; Liu and Hodgins, 2018; Ji, 2020)
Basketball is widely accepted as one of the world’s top sports
To prevent sports injuries caused by collisions in training or competitions, it is necessary to optimize the offensive and defensive paths by intelligent basketball training robots
Summary
In the process of training, there are more comprehensive requirements on the physical and competitive ability of athletes (Coglianese and Lehr, 2017; Liu and Hodgins, 2018; Ji, 2020). Basketball increases the risk of injury due to the high intensity and high-speed collisions between players in the sport. Excessive use of joints, muscles, and ligaments will lead to joint sprains and Intelligent Basketball Training Robot muscle strains (Li et al, 2016). Sports injuries damage the physical and mental health of individual athletes, and affect their competitive ability and restrict the development of the whole team (Li et al, 2019). To prevent sports injuries caused by collisions in training or competitions, it is necessary to optimize the offensive and defensive paths by intelligent basketball training robots
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