Jacopo Panerati

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Lead Researcher, ATRC

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A Brief Introduction

Biography

Jacopo worked as a postdoctoral fellow at the University of Toronto Institute for Aerospace Studies (CA) and as a research associate at the University of Cambridge (UK). Jacopo’s research interests include reinforcement learning, multi-robot systems, probabilistic graphical models, software engineering, and embedded computing.

Github repo: drone-racing-dataset—a fully-annotated, open-design dataset of autonomous and piloted high-speed flight (video)

Former Projects

Github repo: safe-control-gym—physics-based reinforcement learning environments with symbolic dynamics and constraints (video)

Github repo: gym-pybullet-drones—a physics-based quadcopter control simulation for multi-agent reinforcement learning (video)

Github repo: gym-marl-reconnaissance—environments for cooperative multi-agent reinforcement learning in heterogeneous robot teams

Github repo: private_flocking

Professional Activities

Teaching

Scholarship and Awards

Select Publications