Refining Dynamics Identification for Co-Bots: Case Study on KUKA LWR4+

Abstract

This paper presents an attempt to improve dynamic identification procedure for robotic manipulators, such that obtained models are appropriate for trajectory planning and motion control. In addition to algorithms development, authors bring new insights and arguments for the experiments organisation and analysis of the collected data. Significant part of the work is devoted to a case study in calibrating of a collaborative robot (co-bot) KUKA LWR4+, which represents a powerful tool for modern manufacturing systems. Therefore, refined models compared to the ones relied on CAD data provided by the manufacturer can be beneficial for various applications.