Estimation of inertial parameters of manipulator loads and links
International Journal of Robotics Research
Exciting trajectories for the identification of base inertial parameters of robots
International Journal of Robotics Research
Inverse and direct dynamic modeling of Gough-Stewart robots
IEEE Transactions on Robotics
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
SageRobotics: open source framework for symbolic computation of robot models
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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Due to the importance to model-based control, dynamic parameter identification has attracted much attention. However, until now, there is still much work for the identification of dynamic parameters to be done. In this paper, an overview is given of the existing work on dynamic parameter identification of serial and parallel robots. The methods for estimating the dynamic parameters are summarized, and the advantages and disadvantages of each method are discussed. The model to be identified and the trajectory optimization are reviewed. Further, the methods for validating the estimated model are summarized and the application of dynamic parameter identification is mentioned. The results of this review are useful for manufacturers of robots in selecting proper identification method and also for researchers in determining further research areas.