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Alessandro Saviolo
Alessandro Saviolo
PhD Candidate at Agile Robotics and Perception Lab, New York University
Verified email at nyu.edu
Title
Cited by
Cited by
Year
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking
A Saviolo, G Li, G Loianno
IEEE Robotics and Automation Letters 7 (4), 10256-10263, 2022
282022
Autotune: Controller Tuning for High-speed Flight
A Loquercio*, A Saviolo*, D Scaramuzza
IEEE Robotics and Automation Letters 7 (2), 4432-4439, 2022
222022
Learning Quadrotor Dynamics for Precise, Safe, and Agile Flight Control
A Saviolo, G Loianno
Annual Reviews in Control 55, 45-60, 2023
132023
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
A Saviolo, J Frey, A Rathod, M Diehl, G Loianno
IEEE Transactions on Robotics, 1-19, 2022
102022
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
A Saviolo, M Bonotto, D Evangelista, M Imperoli, E Menegatti, A Pretto
International Conference on Intelligent Autonomous System, 696-712, 2021
62021
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
F Crocetti*, J Mao*, A Saviolo, G Costante, G Loianno
IEEE International Conference on Robotics and Automation, 11308-11314, 2023
42023
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions
A Saviolo*, J Mao*, R Balu TMB*, V Radhakrishnan, G Loianno
IEEE International Conference on Robotics and Automation, 5400-5406, 2023
22023
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories
A Saviolo*, P Rao*, V Radhakrishnan, J Xiao, G Loianno
IEEE International Conference on Robotics and Automation, 2024
12024
Autonomous Charging for Perpetual Quadrotor Missions
A Saviolo, J Mao, R Balu TMB, V Radhakrishnan, G Loianno
US Patent App. 18/467,202, 2024
2024
Exploring Deep Reinforcement Learning for Robust Target Tracking using Micro Aerial Vehicles
A Dionigi, M Leomanni, A Saviolo, G Loianno, G Costante
IEEE International Conference on Advanced Robotics, 506-513, 2023
2023
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