Programming industrial robots using traditional jogging via teach pendant is a time-consuming task that requires extensive training. More intuitive and faster task programming is often possible using kinesthetic teaching. Although this feature is available on many commercial collaborative robots, it is rarely available on traditional industrial robots. In this paper we propose a framework for allowing tasks to be instructed using a collaborative robot via kinesthetic teaching, and afterwards deployed to a traditional industrial robot. The framework consists of a physical modular concept for robot exchange, and an online programming software tool called Universal Industrial Interface. To assess the framework, a feasibility study is conducted where an industrial relevant task is rst programmed using a collaborative manipulator, and afterwards deployed on an industrial manipulator.
|Titel||The Proceedings of the 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR 2018)|
|Status||Udgivet - 2018|