研究了测量机器人的轨迹自适应控制问题。
并且当测量视线被遮挡后测量机器人将无法监测相应的形变点。
The Surveying Robot can not monitor the deformation point, when the surveying line covered by a body.
以AS -UII机器人为研究对象，提出了一种间接测量机器人转角的方法。
Researched AS-UII robot then gives a kind of method how to measure Angle of robot indirectly.
测量机器人自动监测系统在小浪底大坝成功应用，实现了大坝外部变形监测的全自动化。
The automatic robot measurement monitoring system has been successfully applied in the Xiaolangdi dam, which realizes the complete automation of the dam exterior deformation monitoring.
基于立体视觉的通用测量机器人是视觉检测技术在工程应用中一个非常有意义的研究领域。
The general measuring robot system based on stereo vision is one of the significant engineering fields of the vision measuring technology applications.
TCA测量机器人对大坝外部变形监测，具有精度高、工效快、获取的数据准确可靠等优点。
The TCA measurement robot is characterized by high accuracy, good efficient and reliance and nicety of acquired data in dam outer deformation monitoring.
随后从测量机器人的关节变量、常值参数和温度影响等方面对整个测量系统的精度进行研究。
Afterward, researches have been done into the precision of the whole measuring system from the joint variable and constant parameter of the robot and the influence of the temperature.
为了解决上述问题，笔者及科研组将GPS技术与测量机器人技术有机结合，开发出了滑坡集成监测系统。
For overcoming the problem above the research team, the integrated monitoring system of landslide has been developed, the system is integrated of the GPS technique with Surveying Robot.
结果表明，测量机器人用于变形监测可以实现全天候自动化，尤其是对建在不开阔地区建构筑物的变形监测有明显优势。
As a result, 24-hour auto-deformation monitoring can be achieved by using survey robot, the predominance is obvious in the building deformation monitoring in narrow areas.
所述方法可用于工业机器人，座标测量机及其它空间机构的性能检定与分析。
The method can be used for check and analysis of performance of industrial robots and the other spatial mechanisms.
机械上摒弃了龙门式、悬臂式等传统的结构，设计了一种基于机器人的坐标测量机。
We spurn conventional mechanism of CMM and design a new non-contact and non-orthogonal CMM based on robotic technology.
提出一种三平移并联机器人坐标测量机的设计方法。
A design method of CMM of 3-dof translational parallel robot was presented.
提出一种三平移并联机器人坐标测量机的设计方法。
A design method of CMM of 3-dof translational parallel robot was presented.
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