Latest Papers

ASME Journal of Mechanisms and Robotics

  • Measurement Configuration Optimization and Kinematic Calibration of a Parallel Robot
    by Huang C, Xie F, Liu X, et al. on December 10, 2021 at 12:00 am

    AbstractThis paper presents the kinematic calibration of a four-degrees-of-freedom (4DOF) high-speed parallel robot. In order to improve the calibration effect by decreasing the influence of the unobservable disturbance variables introduced by error measurement, a measurement configuration optimization method is proposed. Configurations are iteratively selected inside the workspace by a searching algorithm, then the selection results are evaluated through an index associated with the condition number of the identification Jacobian matrix; finally, the number of optimized configurations is determined. Since the selection algorithm has been shown to be sensitive to local minima, a meta-heuristic method has been applied to decrease this sensibility. To verify the effectiveness of the algorithm and kinematic calibration, computation validations, pose error estimations, and experiments are performed. The results show that the identification accuracy and calibration effect can be significantly improved by using the optimized configurations.

Journal Initiatives 2021

Although the community has faced an unprecedented year, I am pleased to report that JMR is thriving and remains on a growth trajectory. While the lives of many were seriously impacted by the pandemic, our community has been resilient. Last year, in 2020, JMR had a record number of submissions (over 600) and is on track to meet this mark again this year. Thanks to the hard work of our Editorial Board, reviewers, and ASME staff, paper review and publication have also remained on track. As we approach the mid-point of this challenging year, in addition to expressing thanks for everyone’s hard work, I would like to take this opportunity to share a few recent initiatives aimed at making JMR one of the top journals in mechanisms and robotics (MR).
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