Antonio Loquercio

Antonio Loquercio is an Assistant Professor in the Electrical and Systems Engineering Department at the University of Pennsylvania and a member of the GRASP Laboratory. His research centers on the pursuit of physical intelligence—endowing robots with the ability to understand, adapt to, and interact with their surroundings in reliable and robust ways. A significant portion of his work focuses on agile autonomy: building robots that can execute fast, precise, and complex behaviors using only onboard sensing and computation. To achieve this, Loquercio develops unified perception–action frameworks that draw from computer vision, deep learning, control theory, and embodied AI. His lab designs algorithms that enable autonomous systems to operate under tight real-world constraints, such as limited compute, incomplete information, and rapidly changing environments. Prior to joining Penn, Loquercio conducted pioneering research in agile flight, vision-based control, and end-to-end learning for robotics, contributing influential ideas to how robots can leverage perception-driven decision-making. His long-term vision is to create general-purpose autonomous robots capable of reacting intelligently and gracefully in the physical world.