首页|China Jiliang University Researcher Reveals New Findings on Robotics (Sensitivity Analysis of Performance Tests for 6-DOF Serial Industrial Robots)
China Jiliang University Researcher Reveals New Findings on Robotics (Sensitivity Analysis of Performance Tests for 6-DOF Serial Industrial Robots)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
New study results on robotics have been published. According to news originating from China Jiliang University by NewsRx editors, the research stated, “The international standard ISO 9283:1998 is popular for performance tests of industrial robots at present.” Financial supporters for this research include National Natural Science Foundation of China. The news journalists obtained a quote from the research from China Jiliang University: “It is desirable that the tests described in this standard should be sensitive to error sources of robot end positioning/ orientation. In this paper, firstly, the kinematic and the joint stiffness model parameters are identified experimentally for two models of 6-DOF (Degree of Freedom) serial in-dustrial robots (i.e., the ABB IRB 1410 and UR5 robots). Then, the standard deviations of the de-rived model parameters are obtained as error inputs for the sensitivity analysis of the performance tests including the positioning/orientation accuracy/repeatability tests. By simulating the error sen-sitivity of the positioning/orientation accuracy/ repeatability test methods for industrial robots, it is analyzed whether the tests described in the ISO 9283:1998 Standard are sensitive to the focused er-ror sources, showing the limitations of the evaluation index of the ISO 9283:1998 Standard.. The results show that for 6-DOF serial industrial robots, the positioning accuracy test is the key to de-termining their motion performance. The orientation accuracy and repeatability tests are not neces-sary if the positioning accuracy and repeatability tests can be done for 6-DOF serial industrial robots.”
China Jiliang UniversityEmerging TechnologiesMachine LearningNano-robotRobotRobotics
NETL
NSTL
