Variable Autonomy for Human-Robot Teaming (VAT)

Manolis Chiou, Serena Booth, Bruno Lacerda, Andreas Theodorou, Simon Rothfuß

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

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 longterm 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.

Original languageEnglish
Title of host publicationHRI '23
Subtitle of host publicationCompanion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery (ACM)
Pages932-934
Number of pages3
ISBN (Electronic)9781450399708
DOIs
Publication statusPublished - 13 Mar 2023
Event18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 - Stockholm, Sweden
Duration: 13 Mar 202316 Mar 2023

Publication series

NameHRI: ACM/IEEE International Conference on Human-Robot Interaction

Conference

Conference18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
Country/TerritorySweden
CityStockholm
Period13/03/2316/03/23

Bibliographical note

Funding Information:
Serena Booth is a fifth year PhD Student at the Massachusetts Institute of Technology (MIT), where she works with Prof. Julie Shah in the Interactive Robotics Group. Serena designs better robot and AI collaborators by enabling agents to explain their behavior and by giving people better tools to change agent behavior. Her work focuses on explainable AI and human-centered reinforcement learning. Her research is supported by an NSF GRFP grant as well as an MIT Jacobs Presidential Fellowship. Serena is also an MIT SERC Fellow: she works to embed ethics and responsible computing materials into MIT’s computing curricula. Serena received an S. M. in Computer Science from MIT in 2020 and an A. B. in Computer Science from Harvard University in 2016. After completing her undergraduate degree, Serena worked at Google as a Product Manager, where she helped launch ARCore, Google’s augmented reality SDK. Outside of research, Serena has served as President of MIT’s Science Policy Initiative, where she aims to increase the representation of scientists in government and the legislative process.

Publisher Copyright:
© 2023 IEEE Computer Society. All rights reserved.

Keywords

  • mixed-initiative
  • shared autonomy
  • shared control
  • sliding autonomy
  • VariableAutonomy

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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