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Trust your supervisor: quadrotor obstacle avoidance using controlled invariant sets., , and . IROS, page 9219-9224. IEEE, (2021)Hardware-in-the-loop development framework for multi-vehicle autonomous systems., , and . ICARSC, page 17-22. IEEE, (2017)Learning to Control Known Feedback Linearizable Systems From Demonstrations., , , and . IEEE Trans. Autom. Control., 69 (1): 189-201 (January 2024)Integrated Framework for Fast Prototyping and Testing of Autonomous Systems., , , and . Journal of Intelligent and Robotic Systems, 96 (2): 223-243 (2019)Beyond the Weakly Hard Model: Measuring the Performance Cost of Deadline Misses (Artifact)., , , and . Dagstuhl Artifacts Ser., 4 (2): 04:1-04:2 (2018)Watch and Learn: Learning to control feedback linearizable systems from expert demonstrations., , , and . ICRA, page 8577-8583. IEEE, (2022)Beyond the Weakly Hard Model: Measuring the Performance Cost of Deadline Misses., , , and . ECRTS, volume 106 of LIPIcs, page 10:1-10:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Modeling and simulation of power consumption and execution times for real-time tasks on embedded heterogeneous architectures., , and . SIGBED Review, 16 (3): 51-56 (2019)Learning to control from expert demonstrations., , , and . CoRR, (2022)Handling the design complexity of Cyber-Physical Systems.. Sant'Anna School of Advanced Studies, Italy, (2018)