Vincent Pacelli
Postdoctoral Fellow at Georgia Institute of Technology
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolVincent Pacelli is a postdoctoral fellow at Georgia Tech’s ACDS Lab who blends robotics, generative AI, and stochastic optimal control to improve model generalization and decision-making. He develops theory and algorithms that connect diffusion models and deep unfolded methods to optimal control principles, aiming to quantify when learned systems will generalize to new tasks. His PhD from Princeton examined the minimal task-relevant information required for robust robot performance, combining theoretical results with real-world experiments. With over a decade of experience including internships at Exyn Technologies and NASA Langley, he brings both practical systems experience and rigorous research to applied autonomy. Based in Atlanta, he is distinctive for bridging information-theoretic perspectives with generative-model tools to make AI-driven robotics more reliable in novel environments.
11 years of coding experience
Master's degree, Robotics, Master's degree, Robotics at University of PennsylvaniaDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Princeton University
Github Skills (24)
robotics10
ros10
autopilot9
rover9
plane9
arduino9
mavlink8
dronekit6
python6
px46
gpu5
automatic-differentiation5
machine-learning5
pytorch5
autodiff4
Programming languages (3)
Github contributions (5)
irom-lab/br-dp-robust
Jun 2021 - May 2022
Contributions:143 commits, 15 pushes in 10 months
irom-lab/task-relevant-control
Aug 2018 - Jun 2019
Contributions:106 commits, 1 push in 10 months
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