在工業(yè)自動(dòng)化生產(chǎn)模式下，機器人的研發(fā)工作受到各界人士的高度關(guān)注。在機器人模型制作的過(guò)程中，大家要了解哪些制作要點(diǎn)呢？機器人模型為企業(yè)帶來(lái)哪些發(fā)展優(yōu)勢呢?隨著(zhù)這些問(wèn)題的提出,大型機器人模型制作廠(chǎng)家給大家帶來(lái)相關(guān)知識的具體介紹。

In the industrial automation production mode, the research and development of robots has been highly concerned by people from all walks of life. In the process of robot model making, what are the key points of making? What development advantages does the robot model bring to the enterprise? As these problems are raised, large robot model manufacturers bring specific introduction to relevant knowledge.

在制作機器人模型的過(guò)程中，大家要針對機器人運動(dòng)學(xué)正、逆解推導過(guò)程，計算出各種數據，提出了一種基于神經(jīng)網(wǎng)絡(luò )的機器人運動(dòng)學(xué)正、逆解計算新方法。搭建了自由度機器人模型實(shí)驗平臺，操縱機器人沿某一軌跡運動(dòng)，記錄下機器人在采樣時(shí)刻的姿態(tài)角、坐標及關(guān)節角，獲取實(shí)驗數據。

In the process of making the robot model, we need to calculate all kinds of data according to the process of robot kinematics forward and inverse solution derivation, and propose a new method of robot kinematics forward and inverse solution calculation based on neural network. An experimental platform for DOF robot model is built to manipulate the robot to move along a certain trajectory, record the attitude angle, coordinates and joint angles of the robot at the sampling time, and obtain the experimental data.

在此基礎上,設計了一個(gè)三層神經(jīng)網(wǎng)絡(luò )，輸入所采集到的數據進(jìn)行訓練，構建了機器人運動(dòng)正反解神經(jīng)網(wǎng)絡(luò )模型。對所構建的模型進(jìn)行驗證，驗證結果表明，由運動(dòng)學(xué)模型所得到的預測值與實(shí)際的測量值誤差小，模型具有較高的準確度。

On this basis, a three-layer neural network is designed, the collected data is input for training, and the forward and inverse neural network model of robot motion is constructed. The model is validated, and the validation results show that the error between the predicted value obtained from the kinematics model and the actual measured value is small, and the model has high accuracy.

工業(yè)生產(chǎn)采用機器人進(jìn)行勞作可以提高生產(chǎn)效率和產(chǎn)品質(zhì)量。機器人在運轉過(guò)程中不停頓不休息，產(chǎn)品質(zhì)量受人的因素影響較小，產(chǎn)品質(zhì)量更穩定。在規?；a(chǎn)中一臺機器人系統可以替代2到4名產(chǎn)業(yè)工人，根據企業(yè)具體情況，有所不同;機器人沒(méi)有疲勞，可24小時(shí)連續生產(chǎn)。

The use of robots in industrial production can improve production efficiency and product quality. The robot does not stop and rest during the operation, the product quality is less affected by human factors, and the product quality is more stable. In large-scale production, one robot system can replace 2 to 4 industrial workers, depending on the specific situation of the enterprise; The robot has no fatigue and can be continuously produced 24 hours a day.

關(guān)于機器人模型制作的要點(diǎn)就為大家分析到這里了，通過(guò)制作機器人模式可以不斷更新機器人控制系統的數據，縮短機器人更新?lián)Q代的周期。大大降低生產(chǎn)成本，降低工傷發(fā)生率，為企業(yè)獲取更多競爭優(yōu)勢，為企業(yè)的發(fā)展奠定堅實(shí)的基礎。關(guān)注我們http://m.andjoin.com，了解更多相關(guān)事項！

The key points of robot model making are analyzed here. By making robot model, the data of robot control system can be updated continuously, and the cycle of robot updating can be shortened. It can greatly reduce the production cost, reduce the incidence of work-related injuries, gain more competitive advantages for enterprises, and lay a solid foundation for the development of enterprises. Follow us http://m.andjoin.com , learn more about it!