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Design and Analysis of Hybrid Systems, with Applications to Robotic Aerial Vehicles.

, , , and . ISRR, volume 70 of Springer Tracts in Advanced Robotics, page 139-149. Springer, (2009)

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Sampling-based approximation of the viability kernel for high-dimensional linear sampled-data systems., , and . HSCC, page 173-182. ACM, (2014)Guaranteeing safe online machine learning via reachability analysis.. Stanford University, USA, (2013)A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems., , , , , and . CoRR, (2017)Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning., and . Robotics: Science and Systems, (2012)Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control., , , , , , and . IROS, page 404-405. IEEE, (2009)Guaranteed Safe Online Learning via Reachability: tracking a ground target using a quadrotor., and . ICRA, page 2723-2730. IEEE, (2012)Design and Analysis of Hybrid Systems, with Applications to Robotic Aerial Vehicles., , , and . ISRR, volume 70 of Springer Tracts in Advanced Robotics, page 139-149. Springer, (2009)Hybrid Systems in Robotics., , , , , and . IEEE Robotics Autom. Mag., 18 (3): 33-43 (2011)Reachability-based safe learning with Gaussian processes., , , , , and . CDC, page 1424-1431. IEEE, (2014)Guaranteed safe online learning of a bounded system., and . IROS, page 2979-2984. IEEE, (2011)