Breaststroke teaching demonstration robot based on speech recognition, and control method of breaststroke teaching demonstration robot
A voice recognition and robotics technology, applied in the direction of program control manipulators, instruments, teaching aids, etc., can solve the problems of low learning efficiency, low teaching quality, single action, etc., to achieve standardized teaching, improve teaching quality, and improve the effect of learning efficiency.
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Embodiment 1
[0082] A speech recognition-based breaststroke teaching demonstration robot is a humanoid robot with multiple degrees of freedom, and has robot motion joints consistent with human body motion joints. The robot includes a robot leg system 1, a robot body system 2, a robot hand system 3, a robot head system 4, a control system 5, and a robot power supply system 6. The robot leg system 1 includes a left leg system 11 and a right leg system 12. The robot hand system 3 includes a left hand system 31 and a right hand system 32; the tops of the left leg system 11, right leg system 12, left hand system 31 and right hand system 32 are respectively connected to the output ends of the robot body system 2; The bottom end of the robot head system 4 is connected to the output end of the robot body system 2 , and the control system 5 and the robot power supply system 6 are connected and installed in the robot body system 2 .
[0083] The left leg system 11 includes a left foot motor 112, a l...
Embodiment 2
[0098] A control method for a breaststroke teaching demonstration robot based on voice recognition, the method is to detect the situation of each part of the robot after starting and whether the surrounding obstacles are greater than the safety threshold, and control the left leg system 11 and the right leg system 12 with voice , the left hand system 31 , the right hand system 32 , the robot head system 4 and the robot body system 2 carry out coordinated movements according to the breaststroke teaching action.
[0099] The method includes the following steps:
[0100] a). Put the robot on the robot bracket system and open the first electronic magnet 71, the second electronic magnet 72, and the third electronic magnet 73 to fix the robot;
[0101] b). After the robot is started, the self-inspection module detects the condition of each part of itself. At the same time, the ranging module and the image recognition module start to work, and detect whether the surrounding obstacles...
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