RO-MAN 2021 Workshop on Robot Behavior Adaptation to Human Social Norms (TSAR)

A key factor for the acceptance of robots as regular partners in human-centered environments is the appropriateness and predictability of their behavior. The behavior of human-human interactions is governed by customary rules that define how people should behave in different situations, thereby governing their expectations. Socially compliant behavior is usually rewarded by group acceptance, while non-compliant behavior might have consequences including isolation from a social group. Making robots able to understand human social norms allows for improving the naturalness and effectiveness of human-robot interaction and collaboration. Since social norms can differ greatly between different cultures and social groups, it is essential that robots are able to learn and adapt their behavior based on feedback and observations from the environment.

This workshop aims to attract the latest research studies and expertise in human-robot interaction and collaboration at the intersection of rapidly growing communities, including social and cognitive robotics, machine learning, and artificial intelligence, to present novel approaches aiming at learning, producing and evaluating human-aware robot behavior. Furthermore, it will provide a venue to discuss the limitations of the current approaches and future directions towards creating intelligent human-aware robot behaviors.

Submission

We invite regular papers (4-6 pages) and position papers (2 pages), using the official RO-MAN 2021 format, presenting or investigating novel approaches to learn, produce and evaluate human-aware robot behavior. Suggested topics include, but are not limited to:

  • Human-human vs human-robot social norms
  • Influence of cultural and social background on robot behavior perception
  • Learning of socially accepted behavior
  • Behavior adaptation based on social feedback
  • Transfer learning of social norms experience
  • The role of robot appearance on applied social norms
  • Perception of socially normative robot behavior
  • Human-aware collaboration and navigation
  • Social norms and trust in human-robot interaction
  • Representation and modeling techniques for social norms
  • Metrics and evaluation criteria for socially compliant robot behavior

Submissions can be made through EasyChair.

Important Dates

Paper submission: June 30, 2021 July 11, 2021 (AoE)
Notification: July 28, 2021 (AoE)
Camera ready: August 4, 2021 (AoE)
Workshop: August 12, 2021

Program

TBA

Invited Speakers (Panelists)

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Brian Scassellati

Yale University, USA

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Greg Trafton

Naval Research Laboratory, USA

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Ana Paiva

University of Lisbon, Portugal

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Matthias Scheutz

Tufts University, USA

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Amit Kumar Pandey

Hanson Robotics, Hong Kong

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Kerstin Dautenhahn

University of Waterloo, Canada

Accepted Papers

TBA

Organizers

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Oliver Roesler

Vrije Universiteit Brussel, Belgium

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Elahe Bagheri

Vrije Universiteit Brussel, Belgium

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Amir Aly

University of Plymouth, UK

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Silvia Rossi

University of Naples Federico II, Italy

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Rachid Alami

CNRS-LAAS, France