Andrea Grillo
Andrea Grillo is a Master's student in Robotics at EPFL (École Polytechnique Fédérale de Lausanne) with a background in Computer Engineering from Politecnico di Torino. He is known for his research on Model Predictive Control and embedded systems, including work on ADMM-based solvers for linear MPC deployed on neuromorphic chips and FPGAs, as well as distributed MPC for multi-robot formation control. He has co-authored papers accepted to ICRA 2025 and has contributed to robotics projects involving real-time control, ROS2 integration, and hardware-accelerated optimization for edge platforms.
“We assume that the matrices P and M are fixed, while the vectors l and u can be updated at runtime”
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