Alessandro Saviolo

According to our database, Alessandro Saviolo authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2023

Learning quadrotor dynamics for precise, safe, and agile flight control.

Alessandro Saviolo, Giuseppe Loianno

Annu. Rev. Control., January, 2023

Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories.

Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan, Jiuhong Xiao, Giuseppe Loianno

CoRR, 2023

AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions.

Alessandro Saviolo, Jeffrey Mao, Roshan Balu T. M. B, Vivek Radhakrishnan, Giuseppe Loianno

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics.

Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Exploring Deep Reinforcement Learning for Robust Target Tracking Using Micro Aerial Vehicles.

Alberto Dionigi, Mirko Leomanni, Alessandro Saviolo, Giuseppe Loianno, Gabriele Costante

Proceedings of the 21st International Conference on Advanced Robotics, 2023

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

AutoTune: Controller Tuning for High-Speed Flight.

Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2022

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

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

Proceedings of the Intelligent Autonomous Systems 16, 2021