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Astghik Hakobyan
Astghik Hakobyan
Research Scientist, CSIE
Verified email at snu.ac.kr - Homepage
Title
Cited by
Cited by
Year
Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization
A Hakobyan, GC Kim, I Yang
IEEE Robotics and Automation Letters 4 (4), 3924-3931, 2019
872019
Wasserstein distributionally robust motion control for collision avoidance using conditional value-at-risk
A Hakobyan, I Yang
IEEE Transactions on Robotics 38 (2), 939-957, 2021
522021
Wasserstein Distributionally Robust Motion Planning and Control with Safety Constraints Using Conditional Value-at-Risk
A Hakobyan, I Yang
2020 IEEE International Conference on Robotics and Automation (ICRA), 490-496, 2020
232020
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach
A Hakobyan, I Yang
IEEE Transactions on Robotics, 2022
162022
Learning-based distributionally robust motion control with Gaussian processes
A Hakobyan, I Yang
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
122020
Wasserstein distributionally robust control of partially observable linear systems: Tractable approximation and performance guarantee
A Hakobyan, I Yang
2022 IEEE 61st Conference on Decision and Control (CDC), 4800-4807, 2022
82022
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments
J Shin, A Hakobyan, M Park, Y Kim, G Kim, I Yang
IEEE Robotics and Automation Letters 7 (4), 10065-10072, 2022
82022
Wasserstein distributionally robust control of partially observable linear stochastic systems
A Hakobyan, I Yang
IEEE Transactions on Automatic Control, 2024
32024
Distributionally Robust Differential Dynamic Programming with Wasserstein Distance
A Hakobyan, I Yang
IEEE Control Systems Letters, 2023
32023
Toward Improving the Distributional Robustness of Risk-Aware Controllers in Learning-Enabled Environments
A Hakobyan, I Yang
2021 60th IEEE Conference on Decision and Control (CDC), 6024-6031, 2021
32021
Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments
A Hakobyan, I Yang
2023 IEEE International Conference on Robotics and Automation (ICRA), 3225-3232, 2023
12023
Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways
JM Nadales, A Hakobyan, DM de la Peña, D Limon, I Yang
IEEE Transactions on Control Systems Technology, 2024
2024
RISK-AWARE DISTRIBUTIONALLY ROBUST OPTIMIZATION FOR LEARNING-BASED AUTONOMOUS SYSTEMS
A HAKOBYAN
2020
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Articles 1–13