Alessandro Saviolo

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Aerial Vehicles

Cluttered Environments

Top Venues

IEEE Robotics Autom. Lett.

Annu. Rev. Control.

Publications

Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan, Jiuhong Xiao, Giuseppe Loianno
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories. ICRA (2024)
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 (2024)
Pratyaksh Prabhav Rao, Alessandro Saviolo, Tommaso Castiglione Ferrari, Giuseppe Loianno
Learning Long-Horizon Predictions for Quadrotor Dynamics. CoRR (2024)
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)
Alberto Dionigi, Mirko Leomanni, Alessandro Saviolo, Giuseppe Loianno, Gabriele Costante
Exploring Deep Reinforcement Learning for Robust Target Tracking using Micro Aerial Vehicles. CoRR (2023)
Alberto Dionigi, Mirko Leomanni, Alessandro Saviolo, Giuseppe Loianno, Gabriele Costante
Exploring Deep Reinforcement Learning for Robust Target Tracking Using Micro Aerial Vehicles. ICAR (2023)
Alessandro Saviolo, Jeffrey Mao, Roshan Balu T. M. B, Vivek Radhakrishnan, Giuseppe Loianno
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions. ICRA (2023)
Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno
GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics. CoRR (2023)
Alessandro Saviolo, Giuseppe Loianno
Learning quadrotor dynamics for precise, safe, and agile flight control. Annu. Rev. Control. 55 (2023)
Alessandro Saviolo, Jeffrey Mao, Roshan Balu T. M. B, Vivek Radhakrishnan, Giuseppe Loianno
AutoCharge: Autonomous Charging for Perpetual Quadrotor Missions. CoRR (2023)
Alessandro Saviolo, Pratyaksh Rao, Vivek Radhakrishnan, Jiuhong Xiao, Giuseppe Loianno
Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories. CoRR (2023)
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) (2022)
Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control. CoRR (2022)
Alessandro Saviolo, Guanrui Li, Giuseppe Loianno
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking. CoRR (2022)
Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza
AutoTune: Controller Tuning for High-Speed Flight. IEEE Robotics Autom. Lett. 7 (2) (2022)
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 (2021)
Antonio Loquercio, Alessandro Saviolo, Davide Scaramuzza
AutoTune: Controller Tuning for High-Speed Flight. CoRR (2021)
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)