Accurate identification of manipulator dynamics parameters is crucial for achieving precise
control and optimal performance in various robotic applications. Existing methods primarily …

Due to the important role of the manipulator dynamic model in manipulation control, the
identification of the dynamic parameters of manipulators has become a research hotspot …

The dynamic modeling and parameters identifying of a manipulator is extremely important
for its control performance and interaction capability. The nonlinear viscous friction is always …

Aiming at the challenges to accurately simulate complex friction models, link dynamics, and
part uncertainty for high-precision robot-based manufacturing considering mechanical …

This paper proposed a three-loop physical parameter identification method considering
physical feasibility and nonlinear friction model. The full physical parameters can be …

Accurate dynamic model is critical for collaborative robots to achieve satisfactory
performance in model-based control or other applications such as dynamic simulation and …

This paper concerns the problem of dynamic parameter identification of robot manipulators
and proposes a closed-loop identification procedure using modified Fourier series (MFS) as …

The accurate dynamic model for industrial robots is required to enhance their efficiency in
expanding their range of applications and carrying out complex tasks. In this research …

This article is concerned with the identification of industrial robot dynamics parameters, and
an identification method based on a nonlinear friction model and a least squares (LS) with …

Conventional dynamic identification procedures for robotic manipulators make use of the
linearity of the dynamic model with respect to the parameters. With these identification …