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.
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:
Submissions can be made through EasyChair.
June 30, 2021 July 11, 2021 (AoE)
Notification: July 28, 2021 (AoE)
Camera ready: August 4, 2021 (AoE)
Workshop: August 12, 2021