Alisa Rupenyan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 51

Top Topics

Iterative Learning

Gaussian Process Models

Predictive Control

Top Venues

IEEE Robotics Autom. Lett.

Publications

Christopher König, Raamadaas Krishnadas, Efe C. Balta, Alisa Rupenyan
Adaptive Bayesian Optimization for High-Precision Motion Systems. CoRR (2024)
Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver, Yannick Nagel, Marvin Rueppel, Alisa Rupenyan, Efe C. Balta, John Lygeros
Force Controlled Printing for Material Extrusion Additive Manufacturing. CoRR (2024)
Mahdi Nobar, Jürg Keller, Alisa Rupenyan, Mohammad Khosravi, John Lygeros
Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin. CoRR (2024)
Baris Kavas, Efe C. Balta, Michael R. Tucker, Raamadaas Krishnadas, Alisa Rupenyan, John Lygeros, Markus Bambach
In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process. CoRR (2024)
Jiaqi Yan, Ankush Chakrabarty, Alisa Rupenyan, John Lygeros
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models. CoRR (2024)
Christopher Koenig, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
Safe Risk-averse Bayesian Optimization for Controller Tuning. CoRR (2023)
Xavier Guidetti, Efe C. Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers. CoRR (2023)
Dominic Liao-McPherson, Efe C. Balta, Mohamadreza Afrasiabi, Alisa Rupenyan, Markus Bambach, John Lygeros
Layer-to-Layer Melt Pool Control in Laser Power Bed Fusion. CoRR (2023)
Marta A. Zagorowska, Lukas Ortmann, Alisa Rupenyan, Mehmet Mercangöz, Lars Imsland
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors. CoRR (2023)
Marta A. Zagorowska, Christopher König, Hanlin Yu, Efe C. Balta, Alisa Rupenyan, John Lygeros
Efficient safe learning for controller tuning with experimental validation. CoRR (2023)
Mohammad Khosravi, Christopher König, Markus Maier, Roy S. Smith, John Lygeros, Alisa Rupenyan
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. IEEE Trans. Ind. Electron. 70 (2) (2023)
Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
Safe Risk-Averse Bayesian Optimization for Controller Tuning. IEEE Robotics Autom. Lett. 8 (12) (2023)
Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems. CoRR (2023)
Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems. CCTA (2023)
Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan
Controller-Aware Dynamic Network Management for Industry 4.0. IECON (2022)
Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros
On Robustness in Optimization-Based Constrained Iterative Learning Control. IEEE Control. Syst. Lett. 6 (2022)
Jonas Rothfuss, Christopher Koenig, Alisa Rupenyan, Andreas Krause
Meta-Learning Priors for Safe Bayesian Optimization. CoRL (2022)
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization. CoRR (2022)
Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan
Controller-Aware Dynamic Network Management for Industry 4.0. CoRR (2022)
Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. ECC (2022)
Samuel Balula, Dominic Liao-McPherson, Stefan Stevsic, Alisa Rupenyan, John Lygeros
Drone-based Volume Estimation in Indoor Environments. CoRR (2022)
Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros
On Robustness in Optimization-Based Constrained Iterative Learning Control. CoRR (2022)
Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros
Batch Model Predictive Control for Selective Laser Melting. ECC (2022)
Samuel Balula, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros
Data-driven Reference Trajectory Optimization for Precision Motion Systems. CoRR (2022)
Xavier Guidetti, Marino Kühne, Yannick Nagel, Efe C. Balta, Alisa Rupenyan, John Lygeros
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements. CoRR (2022)
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros
Performance-Driven Cascade Controller Tuning With Bayesian Optimization. IEEE Trans. Ind. Electron. 69 (1) (2022)
Jonas Rothfuss, Christopher Koenig, Alisa Rupenyan, Andreas Krause
Meta-Learning Priors for Safe Bayesian Optimization. CoRR (2022)
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization. IEEE Robotics Autom. Lett. 7 (4) (2022)
Mohammad H. Mamduhi, Efe C. Balta, Alisa Rupenyan, John Lygeros
Information-Operation Technology Integration in Industrial Cyberphysical Systems. Computer 55 (11) (2022)
Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. CoRR (2021)
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros
Learning from Simulation, Racing in Reality. ICRA (2021)
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization. CASE (2021)
Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. ICRA (2021)
Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. CoRR (2021)
Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CDC (2021)
Alisa Rupenyan, Mohammad Khosravi, John Lygeros
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization. CoRR (2021)
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization. CoRR (2021)
Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CoRR (2021)
Alisa Rupenyan, Mohammad Khosravi, John Lygeros
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization. CDC (2021)
Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros
Batch Model Predictive Control for Selective Laser Melting. CoRR (2021)
Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros
Reference design for closed loop system optimization. ECC (2020)
Markus Maier, Alisa Rupenyan, Christian Bobst, Konrad Wegener
Self-Optimizing Grinding Machines using Gaussian Process Models and Constrained Bayesian Optimization. CoRR (2020)
José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. IROS (2020)
Christopher König, Mohammad Khosravi, Markus Maier, Roy S. Smith, Alisa Rupenyan, John Lygeros
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. CoRR (2020)
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros
Performance-Driven Cascade Controller Tuning with Bayesian Optimization. CoRR (2020)
Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan, John Lygeros
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization. CoRR (2020)
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros
Learning from Simulation, Racing in Reality. CoRR (2020)
José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. CoRR (2020)
Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros
Reference design for closed loop system optimization. CoRR (2020)
Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros
Real-Time Predictive Control for Precision Machining. CoRR (2019)
Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros
Real-Time Predictive Control for Precision Machining. CDC (2019)