Robot collision detection system and method based on neural network
A technology of collision detection and neural network, which is applied in the field of robot collision detection system based on neural network, can solve the problems of large amount of visual sensor data, the accuracy of observation is not as good as the actual measurement of the sensor, and increase the cost of the system, so as to achieve high and excellent collision detection accuracy The effect of generalization ability and concise algorithm
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[0063] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concept of the present invention.
[0064] The invention proposes a robot collision detection scheme based on neural network. Specifically, the neural network is used to predict the current robot servo motor position based on the robot command information and feedback state information and compare it with the actual position of the robot servo motor. When the deviation exceeds a certain threshold, it is determined that the robot has a collision. ...
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