Meet Gabriel Skantze, a WASP affiliated Professor in Speech Communication and Technology at KTH Royal Institute of Technology who joined WASP in 2017.
PI and academic supervisor for two WASP collaboration projects: Robot Learning of Symbol Grounding in Multiple Contexts through Dialog (with Örebro University), and Representation Learning for Conversational AI (with Chalmers University of Technology).
WASP provides a great research community, PhD network, and opportunities for funding.
WASP brings together researchers from all over Sweden in different areas of AI.
In my research, I develop computational models of conversation, applied to face-to-face human-robot interaction. This involves NLP (Natural Language Processing), as well as speech and multi-modal processing.
We recently got an article accepted in the Journal of Artificial Intelligence Research (JAIR), which presents a model for continual learning of how language is grounded in vision (called CoLLIE). This would allow robots to learn new names for objects based on just a few examples. See article: https://arxiv.org/abs/2111.07993
All the big tech companies now invest heavily in Conversational AI, and the market adoption has been very fast. In the future, I expect us to see social robots in many areas of our society. 8 years ago, I co-founded the company Furhat Robotics, which develops a platform for social robotics, so my research is already being applied to real use cases, such as robots performing job interviews.