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Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information.

, , , , and . IROS, page 10290-10296. IEEE, (2022)

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Self-triggered Adaptive Planning and Scheduling of UAV Operations., , and . ICRA, page 7518-7524. IEEE, (2018)Reachability-based self-triggered scheduling and replanning of UAV operations., , and . AHS, page 221-228. IEEE, (2017)A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions., and . IROS, page 6884-6890. IEEE, (2021)GP-based Runtime Planning, Learning, and Recovery for Safe UAV Operations under Unforeseen Disturbances., and . IROS, page 2173-2180. IEEE, (2020)Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations., , and . J. Intell. Robotic Syst., 100 (2): 575-596 (2020)Entropy-regularized Point-based Value Iteration., , , , , , and . CoRR, (2024)Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems., , , , , , and . CoRR, (2022)Efficient Determination of Safety Requirements for Perception Systems., , , and . CoRR, (2023)Experience Filter: Using Past Experiences on Unseen Tasks or Environments., , , , , and . IV, page 1-7. IEEE, (2023)Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information., , , , and . IROS, page 10290-10296. IEEE, (2022)