RI Seminar: Stefanos Nikolaidis : Towards Robust Human-Robot Interaction

Stefanos Nikolaidis Assistant Professor Computer Science, University of Southern California January 28, 2022 Towards Robust Human-Robot Interaction: A Quality Diversity Approach Abstract: The growth of scale and complexity of interactions between humans and robots highlights the need for new computational methods to automatically evaluate novel algorithms and applications. Exploring the diverse scenarios of interaction between humans and robots in simulation can improve understanding of complex human-robot interaction systems and avoid potentially costly failures in real-world settings. In this talk, I propose formulating the problem of automatic scenario generation in human-robot interaction as a quality diversity problem, where the goal is not to find a single global optimum, but a diverse range of failure scenarios that explore both environments and human actions. I show how standa