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ORCIDAlessandro Saviolo
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2020 – today
- 2024
[j4]Alessandro Saviolo
, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno:
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control. IEEE Trans. Robotics 40: 1273-1291 (2024)- [c5]Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan, Jiuhong Xiao, Giuseppe Loianno:
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories. ICRA 2024: 7389-7396 - [i11]Pratyaksh Prabhav Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno:
Learning Long-Horizon Predictions for Quadrotor Dynamics. CoRR abs/2407.12964 (2024) - [i10]Alessandro Saviolo, Niko Picello, Rishabh Verma, Giuseppe Loianno:
Reactive Collision Avoidance for Safe Agile Navigation. CoRR abs/2409.11962 (2024) - [i9]Manohari Goarin, Guanrui Li, Alessandro Saviolo, Giuseppe Loianno:
Decentralized Nonlinear Model Predictive Control for Safe Collision Avoidance in Quadrotor Teams with Limited Detection Range. CoRR abs/2409.17379 (2024) - 2023
- [j3]Alessandro Saviolo, Giuseppe Loianno:
Learning quadrotor dynamics for precise, safe, and agile flight control. Annu. Rev. Control. 55: 45-60 (2023) - [c4]Alberto Dionigi, Mirko Leomanni, Alessandro Saviolo, Giuseppe Loianno, Gabriele Costante:
Exploring Deep Reinforcement Learning for Robust Target Tracking Using Micro Aerial Vehicles. ICAR 2023: 506-513 - [c3]Alessandro Saviolo, Jeffrey Mao, Roshan Balu T. M. B, Vivek Radhakrishnan, Giuseppe Loianno:
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions. ICRA 2023: 5400-5406 - [c2]Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno:
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics. ICRA 2023: 11308-11314 - [i8]Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno:
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics. CoRR abs/2303.08181 (2023) - [i7]Alessandro Saviolo, Jeffrey Mao, Roshan Balu T. M. B, Vivek Radhakrishnan, Giuseppe Loianno:
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions. CoRR abs/2306.05111 (2023) - [i6]Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan, Jiuhong Xiao, Giuseppe Loianno:
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories. CoRR abs/2310.04781 (2023) - [i5]Alberto Dionigi, Mirko Leomanni, Alessandro Saviolo, Giuseppe Loianno, Gabriele Costante:
Exploring Deep Reinforcement Learning for Robust Target Tracking using Micro Aerial Vehicles. CoRR abs/2312.17552 (2023) - 2022
- [j2]Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza:
AutoTune: Controller Tuning for High-Speed Flight. IEEE Robotics Autom. Lett. 7(2): 4432-4439 (2022) - [j1]Alessandro Saviolo, Guanrui Li, Giuseppe Loianno:
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking. IEEE Robotics Autom. Lett. 7(4): 10256-10263 (2022) - [i4]Alessandro Saviolo, Guanrui Li, Giuseppe Loianno:
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking. CoRR abs/2206.03305 (2022) - [i3]Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno:
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control. CoRR abs/2210.12583 (2022) - 2021
- [c1]Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Jacopo Lazzaro, Emanuele Menegatti, Alberto Pretto:
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. IAS 2021: 696-712 - [i2]Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. CoRR abs/2102.01460 (2021) - [i1]Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza:
AutoTune: Controller Tuning for High-Speed Flight. CoRR abs/2103.10698 (2021)
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