DYNAMIC MODELING OF ROBOTS USING RECURSIVE NEWTON-EULER TECHNIQUES

This paper present the use of recursive Newton-Euler to model different robotics systems. The main advantages of this technique are the facility of implementation by numerical or symbolical programming and providing models with reduced number of operations. In this paper the inverse and direct dynamic models of different robotics systems will be presented. At first we start by rigid tree structure robots, then these algorithms will be generalized for closed loop robots, parallel robots, and robots with lumped elasticity. At the end the case of robots with moving base will be treated.