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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
  • Fraunhofer Italia Research
  • Istituto Italiano di Tecnologia
  • Technical University of Munich
  • IDIAP Research Institute

Research output: Contribution to journalArticlepeer-review

22 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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