Robot teaching recording system, teaching process steps and algorithm flow
A robot system and recording system technology, which is applied in the direction of manipulators, manufacturing tools, and program-controlled manipulators, can solve the problems that robot actions cannot be obtained by pre-calculation, require a high level of operator knowledge, and have low applicability, so as to reduce knowledge reserve Requirements, reduced installation process, and the effect of flexible applicability
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Embodiment 1
[0064] Such as figure 1 As shown, the robot teaching and recording system of the present invention is composed of an optical beacon 117, an IMU sensor 116, a camera 115, and a data fusion computing unit 118. The teaching actuator 119 is composed of an IMU sensor 116, an optical beacon 117, and a data fusion computing unit. Unit 118 consists of:
[0065] The optical beacon 117, the IMU sensor 116 and the data fusion calculation unit 118 are installed together, and six optical beacons 117 are installed at different positions, and the spatial encoding of the installation positions of the optical beacons 117 adopts a hexagonal uniform distribution method, The camera unit is installed separately and operated by the teaching worker;
[0066] The camera is used to collect the position of the beacon, and the motion data of the beacon is transmitted through the data exchange network between the IMU sensor 116 and the optical beacon 117 unit and the camera 115, and the data of the IMU ...
Embodiment 2
[0085] Such as image 3 As shown, the robot teaching and recording system of the present invention is composed of an optical beacon 217, an IMU sensor 216, a camera 215, and a data fusion computing unit 218, and the teaching actuator is composed of an IMU sensor 216 and an optical beacon 217, wherein:
[0086] The optical beacon 217 and the IMU sensor 216 are fixedly installed together, and six optical beacons 217 are installed at different linear positions. The spatial encoding of the installation position of the optical beacon 217 adopts a randomly generated uneven distribution method, and the data fusion calculation Unit 218 and camera unit 215 are mounted together and operated by a teaching worker;
[0087] The camera 215 is used to collect the position of the beacon, and the IMU data is transmitted through the data exchange network between the IMU sensor 216 and the optical beacon 217 unit and the camera 215, and the data of the IMU sensor 216 is fused by the data fusion ...
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