[Meetings] Deadline Extended to 15 July: Variable Autonomy for human-robot Teaming (VAT) workshop at IEEE RO-MAN 2024
Ayse Kucukyilmaz
Dear colleagues,
Apologies for cross-posting. We would like to inform you that the paper submission deadline for the Variable Autonomy for Human-Robot Teaming (VAT) workshop at the IEEE International Conference on Robot and Human Interactive Communication RO-MAN 2024 has been extended to July, 15th, 2024.
Submission deadline:15 July 2024 (23:59 AOE)
Notification of acceptance: Late July 2024 (can respond faster if needed for travel arrangements - just let us know)
Camera ready: 12 August 2024 (23:59 AOE)
Workshop day: 26 August 2024
Format: In-person and Full-day
Where: Pasadena, California, USA.
Workshop website: https://sites.google.com/view/vat2024
Workshop overview:
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.
The workshop is driven by the timely need to bring together VA-related research and practices often disconnected across different communities, as the field is relatively young. The workshop aims to consolidate research in VA for HRT towards real-world applications. VA offers a promising approach to bridging the gap between teleoperation (the current paradigm in many real-world applications) and full autonomy (which cannot always be realistically deployed and stakeholders often remain skeptical of). 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 application domains for VA; b) identify and classify related common challenges, opportunities, and the disciplines that need to come together to tackle the challenges; c) 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.
We invite contributions on the following topics (but not limited):
- VA paradigms and control methods for HRT and HRI (including shared control and shared autonomy, mixed-initiative, human-initiative, adjustable autonomy etc.)
- Trustworthy HRT and HRI
- Transparency and XAI in HRI, HRT, and VA
- Human factors, psychology and modeling of human behavior
- Situation awareness for context-dependent HRT
- Interfaces for VA, HRT, and HRI
- Practical work/experiments with VA robotic systems
- Testbeds, experimental design and evaluation methods
- Viewpoints
Submission instructions:
- We accept extended abstracts and short papers up to 4 pages, excluding references.
- Submission Website: https://easychair.org/my/conference?conf=vat2024
- The papers will follow RO-MAN’s submission format (https://www.ro-man2024.org/), and they will be peer-reviewed by at least 2 reviewers.
- All accepted papers will be allocated time for a presentation or a poster (TBD) and will be archived on the workshop’s website. Authors will also be invited to submit extended papers to a journal special issue (TBD).
Kind regards,
The organisers:
Manolis Chiou | Queen Mary University of London
Maria Kyrarini | Santa Clara University
Nicholas Conlon | University of Colorado Boulder
Andreas Theodorou | Universitat Politècnica de Catalunya
Balint Varga | Karlsruhe Institute of Technology, Institute of Control Systems
Ayse Kucukyilmaz | University of Nottingham
Dr Ayse Kucukyilmaz
Associate Professor
School of Computer Science
University of Nottingham
Room B31
Jubilee Campus
Nottingham, NG8 1BB
w: http://www.cs.nott.ac.uk/~pszak1/