Astghik Hakobyan

According to our database, Astghik Hakobyan authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems.

Astghik Hakobyan, Insoon Yang

IEEE Trans. Autom. Control., September, 2024

Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways.

Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang

IEEE Trans. Control. Syst. Technol., July, 2024

Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems.

Minhyuk Jang, Astghik Hakobyan, Insoon Yang

CoRR, 2024

2023

Distributionally Robust Risk Map for Learning-Based Motion Planning and Control: A Semidefinite Programming Approach.

Astghik Hakobyan, Insoon Yang

IEEE Trans. Robotics, February, 2023

Distributionally Robust Differential Dynamic Programming With Wasserstein Distance.

Astghik Hakobyan, Insoon Yang

IEEE Control. Syst. Lett., 2023

Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments.

Astghik Hakobyan, Insoon Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk.

Astghik Hakobyan, Insoon Yang

IEEE Trans. Robotics, 2022

Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments.

Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang

IEEE Robotics Autom. Lett., 2022

Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee.

Astghik Hakobyan, Insoon Yang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Toward Improving the Distributional Robustness of Risk-Aware Controllers in Learning-Enabled Environments.

Astghik Hakobyan, Insoon Yang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Learning-Based Distributionally Robust Motion Control with Gaussian Processes.

Astghik Hakobyan, Insoon Yang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Wasserstein Distributionally Robust Motion Planning and Control with Safety Constraints Using Conditional Value-at-Risk.

Astghik Hakobyan, Insoon Yang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization.

Astghik Hakobyan, Gyeong Chan Kim, Insoon Yang

IEEE Robotics Autom. Lett., 2019