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Progressive Automation of Periodic Movements

  • Fotios DimeasEmail author
  • Theodora Kastritsi
  • Dimitris Papageorgiou
  • Zoe Doulgeri
Conference paper
  • 31 Downloads
Part of the Springer Proceedings in Advanced Robotics book series (SPAR, volume 12)

Abstract

This paper presents the extension of the progressive automation framework for periodic movements, where an operator kinesthetically demonstrates a movement and the robotic manipulator progressively takes the lead until it is able to execute the task autonomously. The basic frequency of the periodic movement in the operational space is determined using adaptive frequency oscillators with Fourier approximation. The multi-dimensionality issue of the demonstrated movement is handled by using a common canonical system and the attractor landscape is learned online with periodic Dynamic Movement Primitives. Based on the robot’s tracking error and the operator’s applied force, we continuously adjust the adaptation rate of the frequency and the waveform learning during the demonstration, as well as the target stiffness of the robot, while progressive automation is achieved. In this way, we enable the operator to intervene and demonstrate either small modifications or entirely new tasks and seamless transition between guided and autonomous operation of the robot, without distinguishing among a learning and a reproduction phase. The proposed method is verified experimentally with an operator demonstrating periodic tasks in the free-space and in contact with the environment for wiping a surface.

Notes

Acknowledgement

This research is implemented through the Operational Program “Human Resources Development, Education and Lifelong Learning” and is co-financed by the European Union (European Social Fund) and Greek national funds.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Fotios Dimeas
    • 1
    Email author
  • Theodora Kastritsi
    • 1
  • Dimitris Papageorgiou
    • 1
  • Zoe Doulgeri
    • 1
  1. 1.Automation and Robotics Laboratory, Department of Electrical and Computer EngineeringAristotle University of ThessalonikiThessalonikiGreece

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