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Variable Autonomy for Human-Robot Teaming (VAT)

Published: 13 March 2023 Publication History

Abstract

As robots are introduced to various domains and applications, Human-Robot Teaming (HRT) capabilities are essential. Such capabilities involve teaming with humans in\ on\ out-the-loop at different levels of abstraction, leveraging the complementing capabilities of humans and robots. This requires robotic systems with the ability to dynamically vary their level or degree of autonomy to collaborate with the human(s) efficiently and overcome various challenging circumstances. Variable Autonomy (VA) is an umbrella term encompassing such research, including but not limited to shared control and shared autonomy, mixed-initiative, adjustable autonomy, and sliding autonomy.
This workshop is driven by the timely need to bring together VA-related research and practices that are often disconnected across different communities as the field is relatively young. The workshop's goal is to consolidate research in VA. To this end, and given the complexity and span of Human-Robot systems, this workshop will adopt a holistic trans-disciplinary approach aiming to a) identify and classify related common challenges and opportunities; b) identify the disciplines that need to come together to tackle the challenges; c) identify and define common terminology, approaches, methodologies, benchmarks, and metrics; d) define short- and long-term research goals for the community.
To achieve these objectives, this workshop aims to bring together industry stakeholders, researchers from fields under the banner of VA, and specialists from other highly related fields such as human factors and psychology. The workshop will consist of a mix of invited talks, contributed papers, and an interactive discussion panel, toward a shared vision for VA.

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  • (2024)Exploring a GPT-based large language model for variable autonomy in a VR-based human-robot teaming simulationFrontiers in Robotics and AI10.3389/frobt.2024.134753811Online publication date: 3-Apr-2024
  • (2023)Experimental Evaluation of Model Predictive Mixed-Initiative Variable Autonomy Systems Applied to Human-Robot Teams2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10394184(5291-5298)Online publication date: 1-Oct-2023

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cover image ACM Conferences
HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
March 2023
612 pages
ISBN:9781450399708
DOI:10.1145/3568294
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 March 2023

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  1. mixed-initiative
  2. shared autonomy
  3. shared control
  4. sliding autonomy
  5. variable autonomy

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Cited By

View all
  • (2024)Exploring a GPT-based large language model for variable autonomy in a VR-based human-robot teaming simulationFrontiers in Robotics and AI10.3389/frobt.2024.134753811Online publication date: 3-Apr-2024
  • (2023)Experimental Evaluation of Model Predictive Mixed-Initiative Variable Autonomy Systems Applied to Human-Robot Teams2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10394184(5291-5298)Online publication date: 1-Oct-2023

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