The combined spacecraft is increasingly demanded to accomplish various types of space
missions. Therefore, the dynamics and control technologies of combined spacecraft are …

Written by two of Europe's leading robotics experts, this book provides the tools for a unified
approach to the modelling of robotic manipulators, whatever their mechanical structure. No …

The use of periodic excitation is the key feature of the presented robot identification method.
Periodic excitation allows us to integrate the experiment design, signal processing, and …

A common way to identify the inertial parameters of robots is to use a linear model in relation
to the parameters and standard least-squares (LS) techniques. This article presents a …

This paper presents an experimental comparison between the weighted least squares
(WLS) estimation and the extended Kalman filtering (EKF) methods for robot dynamic …

Offline robot dynamic identification methods are mostly based on the use of the inverse
dynamic model, which is linear with respect to the dynamic parameters. This model is …

This book starts with a short recapitulation on basic concepts, common to any types of robots
(serial, tree structure, parallel, etc.), that are also necessary for computation of the dynamic …

As the use and relevance of robotics for countless scientific purposes grows all the time,
research into the many diverse elements of the subject becomes ever more important and in …

This paper presents a new algorithm for the identification of the inertial parameters and
friction coefficients of robots. The algorithm does not require to mesure or to calculate the …

Deep learning has been widely used within learning algorithms for robotics. One
disadvantage of deep networks is that these networks are black-box representations …