A Negotiation-Theoretic Framework for Control Authority Transfer in Mixed-Initiative Robotic Systems

Simon Rothfus, Manolis Chiou, Jairo Inga, Soren Hohmann, Rustam Stolkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses the problem of transfer of control authority between a robot's AI and a remote human operator, when controlling a Mixed-Initiative (MI) robotic system. We propose a negotiation-theoretic method that enables the robot's AI and the human operator to cooperatively and dynamically determine (i. e. negotiate) the transfer of control authority between these two agents. An experimental study is presented in which a state-of-the-art Expert-guided Mixed-Initiative Control Switcher (EMICS) method is compared with our proposed Negotiation-Enabled Mixed-Initiative Control Switcher (NEMICS) algorithm. Results suggest that the NEMICS framework is able to successfully avoid conflicts for control, which is a fundamental challenge encountered with previous MI control methods. Comparing NEMICS with the EMICS, we provide evidence of improved navigational safety (i. e. fewer collisions). Additionally, our usability study suggests that human operators perceived their interactions with NEMICS as less intrusive than with EMICS.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
PublisherIEEE
Pages921-928
Number of pages8
ISBN (Electronic)9781665452588, 9781665452571 (USB)
ISBN (Print)9781665452595 (PoD)
DOIs
Publication statusPublished - 18 Nov 2022
Event2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Prague, Czech Republic
Duration: 9 Oct 202212 Oct 2022

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
PublisherIEEE
ISSN (Print)1062-922X
ISSN (Electronic)2577-1655

Conference

Conference2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Country/TerritoryCzech Republic
CityPrague
Period9/10/2212/10/22

Bibliographical note

Funding Information:
This work was supported by the UKRI-EPSRC grand EP/R02572X/1 (National Centre for Nuclear Robotics) and was approved by the University of Birmingham (ethical review no. ERN 19-0199AP2).

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Human Factors
  • Human-Machine Cooperation and Systems
  • Human-Machine Interface
  • Human-Robot Interaction
  • Human-Robot Teaming
  • Mixed-Initiative Control
  • Negotiation Theory
  • Transfer of Control Authority
  • Variable Autonomy

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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