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 | 33 | 2022 |
Autotune: Controller Tuning for High-speed Flight A Loquercio*, A Saviolo*, D Scaramuzza IEEE Robotics and Automation Letters 7 (2), 4432-4439, 2022 | 25 | 2022 |
Learning Quadrotor Dynamics for Precise, Safe, and Agile Flight Control A Saviolo, G Loianno Annual Reviews in Control 55, 45-60, 2023 | 22 | 2023 |
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 40, 1273-1291, 2023 | 10 | 2023 |
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 | 7 | 2021 |
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 | 4 | 2023 |
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 | 4 | 2023 |
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 | 2 | 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 | 1 | 2023 |
System and Method for Autonomous Charging A Saviolo, J Mao, RBTM Balakrishnan, V Radhakrishnan, G Loianno US Patent App. 18/467,202, 2024 | | 2024 |