Doctoral students in Social Robotics

The scientific work will be conducted in the scope of one of the following projects:

Interactive semi-situated robot learning: this project addresses the challenge of how to enable robots to learn in a scalable and cost-efficient manner by gradually acquiring new knowledge from a non-expert, semi-situated teachers. To achieve this, computational methods will be developed for robots to query the semi-situated teachers (e.g. crowd workers) and incorporate the newly acquired knowledge into their existing decision-making to further use in situ. This project is funded by the Swedish Foundation for Strategic Research.

Safe human-robot collaboration: this project aims to explore the relationship between safety and perceived safety in human-robot collaboration. Safe systems may not be necessarily be perceived as safe, whereas unsafe systems might be perceived as safe, depending on their type, form, and structure of the feedback provided to the user. Understanding these tradeoffs is vital to good robot design and acceptance. This project is part of a recently established competence center on Trustworthy Edge Computing Systems and Applications (TECoSA) focusing on research paving the way for novel edge computing systems and applications, emphasizing challenges related to safety, security, and predictability.