Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. - Alessandro Saviolo; Matteo Bonotto; Daniele Evangelista; Marco Imperoli; Jacopo Lazzaro; Emanuele Menegatti; Alberto Pretto (IAS, 2021)

Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. - Alessandro Saviolo; Matteo Bonotto; Daniele Evangelista; Marco Imperoli; Emanuele Menegatti; Alberto Pretto (CoRR, 2021)

AutoTune: Controller Tuning for High-Speed Flight. - Antonio Loquercio; Alessandro Saviolo; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking. - Alessandro Saviolo; Guanrui Li; Giuseppe Loianno (IEEE Robotics Autom. Lett., 2022)

Exploring Deep Reinforcement Learning for Robust Target Tracking Using Micro Aerial Vehicles. - Alberto Dionigi; Mirko Leomanni; Alessandro Saviolo; Giuseppe Loianno; Gabriele Costante (ICAR, 2023)

GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics. - Francesco Crocetti; Jeffrey Mao; Alessandro Saviolo; Gabriele Costante; Giuseppe Loianno (ICRA, 2023)

AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions. - Alessandro Saviolo; Jeffrey Mao; Roshan Balu T. M. B; Vivek Radhakrishnan; Giuseppe Loianno (ICRA, 2023)

Learning quadrotor dynamics for precise, safe, and agile flight control. - Alessandro Saviolo; Giuseppe Loianno (Annu. Rev. Control., 2023)

Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories. - Alessandro Saviolo; Pratyaksh Rao; Vivek Radhakrishnan; Jiuhong Xiao; Giuseppe Loianno (ICRA, 2024)

Learning Long-Horizon Predictions for Quadrotor Dynamics. - Pratyaksh Prabhav Rao; Alessandro Saviolo; Tommaso Castiglione Ferrari; Giuseppe Loianno (IROS, 2024)

Reactive Collision Avoidance for Safe Agile Navigation. - Alessandro Saviolo; Niko Picello; Rishabh Verma; Giuseppe Loianno (CoRR, 2024)

Decentralized Nonlinear Model Predictive Control for Safe Collision Avoidance in Quadrotor Teams with Limited Detection Range. - Manohari Goarin; Guanrui Li; Alessandro Saviolo; Giuseppe Loianno (CoRR, 2024)

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control. - Alessandro Saviolo; Jonathan Frey; Abhishek Rathod; Moritz Diehl; Giuseppe Loianno (IEEE Trans. Robotics, 2024)

NOVA: Navigation via Object-Centric Visual Autonomy for High-Speed Target Tracking in Unstructured GPS-Denied Environments. - Alessandro Saviolo; Giuseppe Loianno (CoRR, 2025)