Automatic table tennis picking robot based on TensorFlow

Abstract

The invention discloses an automatic table tennis picking robot based on TensorFlow. The robot comprises a vehicle body, a single chip microcomputer, a steering engine, a power supply, swing arms, a ball frame and elastic ropes; the swing arms are connected in a hinged mode with the front end of the vehicle body; a cylindrical shape ball frame is fixed on the top parts of the swing arms, an opening is arranged on the front end of the ball frame, the rear end of the ball frame is enclosed, and a number of alternately arranged elastic ropes are fixed on a cross sectional surface on one side of the opening, the spacing between two neighboring elastic ropes is less than the diameter of a to-be-picked table tennis; the distance between the cross sectional surface of the elastic rope and the end face of the ball frame opening is less than 1 / 2 of the radius of the to-be-picked table tennis; the bottoms of the swing arms are connected with a power output shaft of the steering engine, to control the rotation angle of the power output shaft; and the steering engine is connected with the single chip microcomputer and the power supply. According to the automatic table tennis picking robot, the efficient automation of table tennis picking is achieved through the special design of a ball picking mechanism; and the robot is simple in structure and relatively low in cost.

Description

technical field [0001] The invention belongs to the field of robots, and in particular relates to a TensorFlow-based automatic table tennis picking robot. Background technique [0002] In the daily training process in the table tennis hall, picking up the table tennis balls scattered everywhere is a relatively labor-intensive work for athletes. Moreover, according to medical statistical research, during strenuous exercise, frequent bending to pick up the ball will increase the risk of later sports injuries. [0003] The invention patent with the application number of 201410109219.5 discloses a ball picking machine, which is equipped with a suction cabin at the rear of the suction pipe to suck the balls into the cabin, and the ball picking operation is simple, time-saving and labor-saving during ball games. And it can wipe the sphere and suck the bacterial dust, which reduces the work difficulty of sports personnel. But, because this device can not cruise automatically in t...

AI Technical Summary

Problems solved by technology

[0004] With the development of science and technology and the continuous improvement of people's living standards, smartphones have almost become everyone's standard equipment, but more use also means more waste. According to relevant surveys, the average time people spend on changing Android smartphones It is about 2-3 years, and the frequency for young people to replace their mobile phones is between 1-2 years. Frequent replacement means that the output of old mobile phones is increasing in large numbers, and the discarded old mobile phones are often dusty. Or be discarded, which is very huge to the pollution of the environment and the waste of hardware resources

Especially at present, the computing power of smartphones is increasing by a huge order of magnitude every year. A considerable part of the CPU computing power of mobile phones can already run large-scale algorithms. If they are discarded or dusted at will, this is obviously a great waste of resources.

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