Fall 2024 GRASP on Robotics: Antonio Loquercio, University of Pennsylvania, “Simulation: What made us intelligent will make our robots intelligent”

Antonio is 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. One of his main emphases is agile autonomy: he builds robots that, with only on-board sensing and computation, can perform complex tasks with great speed, precision, and agility. To do so, he designs unified approaches to perception and action drawing from the fields of computer vision, control, and artificial intelligence.