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Esen Yel
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2020 – today
- 2024
- [c11]Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer:
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. IV 2024: 2855-2861 - [i9]Harrison Delecki, Marcell Vazquez-Chanlatte, Esen Yel, Kyle Hollins Wray, Tomer Arnon, Stefan J. Witwicki, Mykel J. Kochenderfer:
Entropy-regularized Point-based Value Iteration. CoRR abs/2402.09388 (2024) - 2023
- [c10]Anil Yildiz, Esen Yel
, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer
:
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. IV 2023: 1-7 - [i8]Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer:
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. CoRR abs/2305.18633 (2023) - [i7]Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer:
Efficient Determination of Safety Requirements for Perception Systems. CoRR abs/2307.01371 (2023) - [i6]Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer:
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. CoRR abs/2310.01723 (2023) - 2022
- [j3]Esen Yel
, Shijie Gao
, Nicola Bezzo
:
Meta-Learning-Based Proactive Online Planning for UAVs Under Degraded Conditions. IEEE Robotics Autom. Lett. 7(4): 10320-10327 (2022) - [c9]Matthew Cleaveland, Esen Yel
, Yiannis Kantaros, Insup Lee, Nicola Bezzo:
Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information. IROS 2022: 10290-10296 - [c8]Maneekwan Toyungyernsub, Esen Yel
, Jiachen Li, Mykel J. Kochenderfer
:
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. IROS 2022: 10836-10841 - [c7]Liam A. Kruse, Esen Yel
, Ransalu Senanayake, Mykel J. Kochenderfer
:
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. ITSC 2022: 1202-1207 - [e1]Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer:
Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. Proceedings of Machine Learning Research 168, PMLR 2022 [contents] - [i5]Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer:
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. CoRR abs/2207.05228 (2022) - [i4]Matthew Cleaveland, Esen Yel, Yiannis Kantaros, Insup Lee, Nicola Bezzo:
Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information. CoRR abs/2209.04534 (2022) - [i3]Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer:
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. CoRR abs/2209.13172 (2022) - [i2]Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How:
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. CoRR abs/2209.14076 (2022) - 2021
- [c6]Esen Yel
, Nicola Bezzo:
A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions. IROS 2021: 6884-6890 - [i1]Esen Yel, Nicola Bezzo:
A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions. CoRR abs/2104.15081 (2021) - 2020
- [j2]Esen Yel
, Tony X. Lin, Nicola Bezzo:
Computation-Aware Adaptive Planning and Scheduling for Safe Unmanned Airborne Operations. J. Intell. Robotic Syst. 100(2): 575-596 (2020) - [j1]Esen Yel
, Taylor J. Carpenter
, Carmelo Di Franco
, Radoslav Ivanov
, Yiannis Kantaros
, Insup Lee
, James Weimer
, Nicola Bezzo:
Assured Runtime Monitoring and Planning: Toward Verification of Neural Networks for Safe Autonomous Operations. IEEE Robotics Autom. Mag. 27(2): 102-116 (2020) - [c5]Esen Yel
, Nicola Bezzo:
GP-based Runtime Planning, Learning, and Recovery for Safe UAV Operations under Unforeseen Disturbances. IROS 2020: 2173-2180
2010 – 2019
- 2019
- [c4]Esen Yel, Nicola Bezzo:
Fast Run-time Monitoring, Replanning, and Recovery for Safe Autonomous System Operations. IROS 2019: 1661-1667 - 2018
- [c3]Tony X. Lin, Esen Yel, Nicola Bezzo:
Energy-aware Persistent Control of Heterogeneous Robotic Systems. ACC 2018: 2782-2787 - [c2]Esen Yel, Tony X. Lin, Nicola Bezzo:
Self-triggered Adaptive Planning and Scheduling of UAV Operations. ICRA 2018: 7518-7524 - 2017
- [c1]Esen Yel, Tony X. Lin, Nicola Bezzo:
Reachability-based self-triggered scheduling and replanning of UAV operations. AHS 2017: 221-228
Coauthor Index
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