Towards Automating the Generation of Human-Robot Interaction Scenarios


  • Matthew C. Fontaine University of Southern California



Scenario Generation, Quality Diversity, Human-Robot Interaction, Generative Models, Procedural Content Generation


My work studies the problem of generating scenarios to evaluate interaction between humans and robots. I expect these interactions to grow in complexity as robots become more intelligent and enter our daily lives. However, evaluating such interactions only through user studies, which are the de facto evaluation method in human-robot interaction, will quickly become infeasible as the number of possible scenarios grows exponentially with scenario complexity. Therefore, I propose automatically generating scenarios in simulation to explore the diverse possibility space of scenarios to better understand interaction and avoid costly failures in real world settings.




How to Cite

Fontaine, M. C. (2022). Towards Automating the Generation of Human-Robot Interaction Scenarios. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12876-12877.