Authors

Fei Liu, Angel Ricardo Licona, Arnaud Lelevé, Damien Eberard, Minh Tu Pham, Tanneguy Redarce

Abstract

This paper introduces a dual-user training system whose design is based on an energetic approach. This kind of system is useful for supervised hands-on training where a trainer interacts with a trainee through two haptic devices, in order to practice on a manual task performed on a virtual or teleoperated robot (e.g., for an Minimally Invasive Surgery (MIS) task in a surgical context). This paper details the proof of stability of an Energy Shared Control (ESC) architecture we previously introduced for one degree of freedom (d.o.f.) devices. An extension to multiple degrees of freedom is proposed, along with an enhanced version of the Adaptive Authority Adjustment function. Experiments are carried out with 3 d.o.f. haptic devices in free motion as well as in contact contexts in order to show the relevance of this architecture.

Citation

  • Journal: Robotica
  • Year: 2020
  • Volume: 38
  • Issue: 7
  • Pages: 1155–1175
  • Publisher: Cambridge University Press (CUP)
  • DOI: 10.1017/s0263574719001309

BibTeX

@article{Liu_2019,
  title={{An Energy-Based Approach for n-d.o.f. Passive Dual-User Haptic Training Systems}},
  volume={38},
  ISSN={1469-8668},
  DOI={10.1017/s0263574719001309},
  number={7},
  journal={Robotica},
  publisher={Cambridge University Press (CUP)},
  author={Liu, Fei and Licona, Angel Ricardo and Lelevé, Arnaud and Eberard, Damien and Pham, Minh Tu and Redarce, Tanneguy},
  year={2019},
  pages={1155--1175}
}

Download the bib file

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