Summary
Matteo Polverini is a senior controls leader with eight years of focused experience translating optimization-based research into deployed robotic systems at Agility Robotics. He leads the Controls team, driving inverse kinematics/dynamics, force control, trajectory optimization and model predictive control to make humanoid and mobile manipulators perform reliably in the real world. His background includes a PhD from Politecnico di Milano and postdoctoral work on humanoids (CENTAURO, COMAN+), where he developed algorithms that moved from simulation to hardware validation. Matteo combines hands-on algorithm design with team leadership, rapidly progressing through individual contributor and management roles into senior management. Based in Salem, Oregon, he is notable for bridging academic rigor in force-regulation and safe HRI with production-grade control stacks. Colleagues describe him as someone who systematically turns complex optimization theory into practical, testable robot behaviors.
8 years of coding experience
7 years of employment as a software developer
Visiting graduate student, Visiting graduate student at KTH Royal Institute of Technology
Doctor of Philosophy - PhD, Information Technology - Systems and Control, Doctor of Philosophy - PhD, Information Technology - Systems and Control at Politecnico di Milano