Reproducing the results in ‘Robot Dynamics Identification: A Reproducible Comparison With Experiments on the Kinova Jaco’

System identification is an important part of robotics research as it helps to understand complex systems where some parameters might be unknown or not measurable. This paper is the second step in the lifecycle (R-article, r-article, short reply) of the IEEE Robotics and Automation Society approach to reproducibility in robotics research. We have reproduced the results of system identification of robot dynamics experiments both via an online computational platform as well as on a local setup. Our analysis has demonstrated that all the results and claims are reproducible, however, we provide some feedback regarding possible minor improvements that could allow a better reproducibility of the results.