// PERSON
Paolo Magliano
ROLE RESEARCHERMENTIONS 1LAST SEEN JULY 21, 2026
// BIO
Paolo Magliano is a researcher in reinforcement learning and robotics whose master's thesis at Politecnico di Torino, supervised by Raffaello Camoriano, focuses on constrained reinforcement learning for safe quadruped robot locomotion. His GitHub repositories include work on the ATACOM framework for safe exploration in reinforcement learning and quadruped locomotion in simulation, as well as 3D novelty detection and pattern recognition. His thesis work was conducted in collaboration with the Intelligent Autonomous Systems Group at Technische Universität Darmstadt.
Discussed in
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
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hire·arXiv Physical AI·JULY 21, 2026
“Participants: Paolo Magliano, R. Camoriano, et al. (arXiv Physical AI)”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.