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Evaluation of Object Type Recognition Method in Construction Teleoperation Robot Control System

机译:建筑遥操作机器人控制系统中物体类型识别方法的评价

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The purpose of this research is to evaluate the effectiveness of object type recognition method in construction robot control system. This research examines the master-slave control system for teleoperation construction robot. The master comprises two joysticks introduced to operate objects from a remote location,and the slave corresponds to an excavator with four degrees of freedom regarded as the construction robot. The authors has proposed a control method to provide operator with a reasonable sense of reaction force by introducing noticeable reaction torque to joystick and the variable master torque gain according to the hardness of objects when the robot moves slowly to grasp soft objects. In this research,a visual prompting method,which shows the value of variable master torque gain on the screen and changes the color of objects with the objects type in virtual space,is provided with the operator for the object type recognition. A series of grasping experiments were conducted by using concrete, tire,urethane foam and sponge foam blocks. As a result,operator could easily distinguish the type of grasped objects by the abovementioned visual prompting method,and the effectiveness of the object type recognition method is verified by the experiments.
机译:本研究的目的是评估物体型识别方法在施工机器人控制系统中的有效性。本研究探讨了漫通式建设机器人的主从控制系统。主设备包括两个引入的操纵杆,以从遥控位置操作物体,并且从奴隶对应于具有四个自由度的挖掘机被视为建筑机器人。作者提出了一种控制方法,通过将显着的反作用扭矩引入操纵杆和可变主扭矩增益,根据机器人缓慢移动以抓住柔软物体时,通过将显着的反作用扭矩和可变主扭矩增益引入具有合理的反作用力的操作员。在该研究中,一种视觉提示方法,它显示了屏幕上的可变主转矩增益的值并将具有对象类型的对象类型的对象的颜色改变为对象类型识别。通过使用混凝土,轮胎,聚氨酯泡沫和海绵泡沫块进行一系列抓握实验。结果,操作员可以通过上述视觉提示方法容易地区分掌握对象的类型,并且通过实验验证了对象类型识别方法的有效性。

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