02 February 2015 |
The paper “TERESA: A Socially Intelligent Semi-autonomous Telepresence System” was published at the Workshop on Machine Learning for Social Robotics at ICRA-2015 in Seattle.
In this paper, we present an overview of our progress on TERESA. We discuss the most significant scientific and technical challenges including: understanding and automatically recognizing social behaviour; defining social norms for the interaction between a telepresence robot and its users; navigating the environment while taking into account social features and constraints; and learning to estimate the social impact of the robot’s actions from multiple sources of feedback. We report on our current progress on each of these challenges, as well as our plans for future work.