Astghik Hakobyan

25 papers A* 2A 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ℒ CoRR Astghik Hakobyan, Amaras Nazarians, Aditya Gahlawat, Naira Hovakimyan, Ilya V. Kolmanovsky
2025	J	`jnl`	Distributionally Robust Kalman Filter. CoRR MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2025	—	`conf`	On the Steady-State Distributionally Robust Kalman Filter. CDC MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2025	J	`jnl`	On the Steady-State Distributionally Robust Kalman Filter. CoRR MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2024	J	`jnl`	Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. IEEE Trans. Control. Syst. Technol. Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang
2024	J	`jnl`	Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems. CoRR MinHyuk Jang, Astghik Hakobyan, Insoon Yang
2024	J	`jnl`	Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems. IEEE Trans. Autom. Control. Astghik Hakobyan, Insoon Yang
2023	J	`jnl`	Distributionally Robust Differential Dynamic Programming With Wasserstein Distance. IEEE Control. Syst. Lett. Astghik Hakobyan, Insoon Yang
2023	J	`jnl`	Distributionally Robust Differential Dynamic Programming with Wasserstein Distance. CoRR Astghik Hakobyan, Insoon Yang
2023	A*	`conf`	Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments. ICRA Astghik Hakobyan, Insoon Yang
2023	J	`jnl`	Distributionally Robust Risk Map for Learning-Based Motion Planning and Control: A Semidefinite Programming Approach. IEEE Trans. Robotics Astghik Hakobyan, Insoon Yang
2023	J	`jnl`	Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. CoRR Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang
2022	J	`jnl`	Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments. IEEE Robotics Autom. Lett. Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang
2022	J	`jnl`	Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems. CoRR Astghik Hakobyan, Insoon Yang
2022	—	`conf`	Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee. CDC Astghik Hakobyan, Insoon Yang
2022	J	`jnl`	Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee. CoRR Astghik Hakobyan, Insoon Yang
2022	J	`jnl`	Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk. IEEE Trans. Robotics Astghik Hakobyan, Insoon Yang
2021	J	`jnl`	Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach. CoRR Astghik Hakobyan, Insoon Yang
2021	J	`jnl`	Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments. CoRR Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang
2021	—	`conf`	Toward Improving the Distributional Robustness of Risk-Aware Controllers in Learning-Enabled Environments. CDC Astghik Hakobyan, Insoon Yang
2020	A	`conf`	Learning-Based Distributionally Robust Motion Control with Gaussian Processes. IROS Astghik Hakobyan, Insoon Yang
2020	J	`jnl`	Learning-based distributionally robust motion control with Gaussian processes. CoRR Astghik Hakobyan, Insoon Yang
2020	J	`jnl`	Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk. CoRR Astghik Hakobyan, Insoon Yang
2020	A*	`conf`	Wasserstein Distributionally Robust Motion Planning and Control with Safety Constraints Using Conditional Value-at-Risk. ICRA Astghik Hakobyan, Insoon Yang
2019	J	`jnl`	Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization. IEEE Robotics Autom. Lett. Astghik Hakobyan, Gyeong Chan Kim, Insoon Yang