Antonio Loquercio, assistant professor at University of Pennsylvania.

I am broadly interested in the problem of physical intelligence, whose overarching goal is to empower robots with the capability to learn, understand, and interact with their surroundings in a way that is both reliable and adaptable. My main emphasis is simulation-to-real-world transfer: I aim to develop algorithms that leverage inaccurate world models to equip robots with the ability to operate and quickly adapt in the real world. I am particularly interested in end-to-end learning-based methods that map raw sensory observations to motor actions with minimal abstraction.

I received my doctoral degree at the University of Zurich with the Robotics and Perception Group working with Prof. Davide Scaramuzza. After that, I was a PostDoc at BAIR with Prof. Jitendra Malik.

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