Papers
76
Total Citations
1,945
H-Index
21
About
Gabriel Skantze is a pioneering researcher in human-robot interaction and spoken dialogue systems, whose work has fundamentally shaped how machines engage in natural conversation. Based at KTH Royal Institute of Technology, Skantze is best known for developing Furhat, a back-projected humanoid robot head that became a landmark platform for multiparty face-to-face interaction, accumulating nearly 300 citations and eventually spinning out as a commercial robotics company. His influential 2020 review of turn-taking in conversational systems, with over 250 citations, stands as a definitive reference in the field, synthesizing decades of research on one of dialogue's most complex coordination challenges. Skantze has consistently advanced the science of turn-taking through computational modeling, including an LSTM-based continuous framework that brought machine learning rigor to the problem. He also created IrisTK, a widely adopted toolkit enabling rapid development of multimodal interaction systems. More recently, his work has embraced large language models to generate real-time robot emotions and design companion robots for older adults. Across his career, Skantze has bridged linguistics, robotics, and artificial intelligence to build conversational machines that feel genuinely responsive and socially aware.
Research Focus
Key Achievements
Top Papers
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- 2Turn-taking in Conversational Systems and Human-Robot Interaction: A Review255 citations · 2020
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- 4IrisTK95 citations · 2012
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