Flexible Automation Driven by Demonstration: Leveraging Strategies that Simplify Robotics

Andrea Giusti, Martijn J.A. Zeestraten, Esra Icer, Aaron Pereira, Darwin G. Caldwell, Sylvain Calinon, Matthias Althoff

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

An important question for production engineers is, »How do I automate this task?» In traditional industrial automation, e.g., a car factory, robots perform a small set of tasks for long periods of time. Robots are selected because their kinematic structure and strength suit the task requirements, and their motions are preprogrammed by a skilled programmer. In flexible manufacturing environments, tasks can change daily or hourly. The classic approach to automation is less suitable here; buying a dedicated robot for each set of tasks is inefficient, and coding each task is very time-consuming. Furthermore, qualified programmers with the requisite knowledge may not be available. To solve these problems, we propose a framework for modular robots that determines their structure and program based on human demonstrations.

Original languageEnglish
Pages (from-to)18-27
Number of pages10
JournalIEEE Robotics and Automation Magazine
Volume25
Issue number2
DOIs
StatePublished - Jun 2018

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