Publications
A more upto date list of publications can be found on my Google Scholar profile: Google Scholar and on RISL webpage
Journal and Magazine Articles
- N. Rober, S. M. Katz, C. Sidrane, E. Yel, M. Everett, M. J. Kochenderfer, and J. P. How. “Backward reachability analysis of neural feedback loops: Techniques for linear and nonlinear systems”, IEEE Open Journal of Control Systems, 2023 (Early Access) PDF
- E. Yel, Shijie Gao, N. Bezzo, ”Meta-Learning-based Proactive Online Planning for UAVs under Degraded Conditions”, (*equal contribution), Robotics and Automation Letters (RA-L), 2022 PDF
- E. Yel, T. Carpenter, C. di Franco, R. Ivanov, Y. Kantaros, I. Lee, J. Weimer, N. Bezzo, ”Assured Run-time Monitoring and Planning: Towards Verification of Deep Neural Networks for Safe Autonomous Operations”, Robotics and Automation Magazine, Special Issue on Deep Learning and Machine Learning in Robotics, 2020 PDF
- E. Yel, Tony X. Lin, N. Bezzo, ”Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations” Journal of Intelligent and Robotic Systems, 2020 PDF
Conference Papers
- H. Delecki, M. Vazquez-Chanlatte, E. Yel, K. Wray, T. Arnon, S. Witwicki, M. J. Kochenderfer, “Entropy-regularized Point-based Value Iteration”, International Conference on Control, Decision and Information Technologies (CoDIT), 2025. (to appear)
- M. Toyungyernsub, E. Yel, J. Li, M. Kochenderfer, “Predicting future spatiotemporal occupancy grids with semantics for autonomous driving”, IEEE Intelligent Vehicles Symposium (IV), 2024, pp. 2855-2861 PDF
- S. Katz, A. Corso, E. Yel, and M. Kochenderfer, “Efficient Determination of Safety Requirements for Perception Systems”, AIAA/IEEE Digital Avionics Systems Conference (DASC), 2023 PDF
- A. Yildiz, E. Yel, A. Corso, K. Wray, S. Witwicki and M. Kochenderfer, “Experience filter: Transferring past experiences to unseen tasks or environments”, IEEE Intelligent Vehicles Symposium (IV) 2023 PDF
- M. Toyungyernsub, E. Yel, J.Li, M. Kochenderfer, “Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 PDF
- M. Cleaveland, E. Yel, Y. Kantaros, I. Lee, N. Bezzo, “Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 PDF
- L. Kruse, E. Yel, R. Senanayake, M. Kochenderfer, “Uncertainty-Aware Online Merge Planning with Learned Driver Behavior”, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022 PDF
- E. Yel, N. Bezzo, ”A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 PDF
- E. Yel, N. Bezzo, ”GP-based Runtime Planning, Learning, and Recovery for Safe UAV Operations under Unforeseen Disturbances” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 PDF
- E. Yel and N. Bezzo, “Fast Run-time Monitoring, Replanning, and Recovery for Safe Autonomous System Operations” 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, pp. 1661-1667. PDF
- E. Yel, T. X. Lin and N. Bezzo, ”Self-triggered Adaptive Planning and Scheduling of UAV Operations,” IEEE International Conference on Robotics and Automation (ICRA), Brisbane, 2018 PDF
- T. X. Lin, E. Yel and N. Bezzo, ”Energy-aware Persistent Control of Heterogeneous Robotic Systems,” American Control Conference (ACC), Milwaukee, WI, 2018 PDF
- E. Yel, T. X. Lin and N. Bezzo, ”Reachability-based self-triggered scheduling and replanning of UAV operations,” NASA/ESA Conference on Adaptive Hardware and Systems (AHS), Pasadena, CA, 2017, pp. 221-228. PDF
Dissertation
- E. Yel, ”Online Predictive Monitoring and Proactive Planning for Safe Autonomous Robot Operations”, University of Virginia, August 2021, PDF