Alisa Rupenyan

71 papers A* 3A 1C 1Misc 1Journal 52Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autogeneration and optimization of pick-and-place trajectories in robotic systems: A data-driven approach.
Robotics Comput. Integr. Manuf.
Mingkun Wu, Alisa Rupenyan, Burkhard Corves
2026 J jnl
Guided Multi-Fidelity Bayesian Optimization for Data-driven Controller Tuning with Digital Twins.
IEEE Robotics Autom. Lett.
Mahdi Nobar, Jürg Keller, Alessandro Forino, John Lygeros, Alisa Rupenyan
2025 J jnl
Adaptive Bayesian Optimization for High-Precision Motion Systems.
IEEE Trans Autom. Sci. Eng.
Christopher König, Raamadaas Krishnadas, Efe C. Balta, Alisa Rupenyan
2025 J jnl
Bayesian Optimization for Automatic Tuning of Torque-Level Nonlinear Model Predictive Control.
CoRR
Gabriele Fadini, Deepak Ingole, Tong Duy Son, Alisa Rupenyan
2025 J jnl
Differentiable Material Point Method for the Control of Deformable Objects.
CoRR
Diego Bolliger, Gabriele Fadini, Markus Bambach, Alisa Rupenyan
2025 J jnl
Efficient safe learning for controller tuning with experimental validation.
Eng. Appl. Artif. Intell.
Marta A. Zagorowska, Christopher König, Hanlin Yu, Efe C. Balta, Alisa Rupenyan, John Lygeros
2025 — conf
From Research to Practice in Manufacturing - Interactive session I.
ECC
Alisa Rupenyan, Benjamin Sawicki
2025 — conf
From Research to Practice in Manufacturing - Interactive session I.
ECC
Alisa Rupenyan, Benjamin Sawicki
2025 — conf
From Research to Practice in Manufacturing.
ECC
Alisa Rupenyan
2025 J jnl
Guided Bayesian Optimization: Data-Efficient Controller Tuning With Digital Twin.
IEEE Trans Autom. Sci. Eng.
Mahdi Nobar, Jürg Keller, Alisa Rupenyan, Mohammad Khosravi, John Lygeros
2025 J jnl
Guided Multi-Fidelity Bayesian Optimization for Data-driven Controller Tuning with Digital Twins.
CoRR
Mahdi Nobar, Jürg Keller, Alessandro Forino, John Lygeros, Alisa Rupenyan
2025 J jnl
Iterative Learning Predictive Control for Constrained Uncertain Systems.
CoRR
Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros
2025 J jnl
Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks.
CoRR
Deepak Ingole, Valentin Bhend, Shiva Ganesh Murali, Oliver Dobrich, Alisa Rupenyan
2025 J jnl
Layer-to-Layer Melt Pool Control in Laser Powder Bed Fusion.
IEEE Trans. Control. Syst. Technol.
Dominic Liao-McPherson, Efe C. Balta, Mohamadreza Afrasiabi, Alisa Rupenyan, Markus Bambach, John Lygeros
2025 — conf
Singularity-Avoidance Control of Robotic Systems with Model Mismatch and Actuator Constraints.
ECC
Mingkun Wu, Alisa Rupenyan, Burkhard Corves
2024 J jnl
Adaptive Bayesian Optimization for High-Precision Motion Systems.
CoRR
Christopher König, Raamadaas Krishnadas, Efe C. Balta, Alisa Rupenyan
2024 J jnl
Force Controlled Printing for Material Extrusion Additive Manufacturing.
CoRR
Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver, Yannick Nagel, Marvin Rueppel, Alisa Rupenyan, Efe C. Balta, John Lygeros
2024 J jnl
Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin.
CoRR
Mahdi Nobar, Jürg Keller, Alisa Rupenyan, Mohammad Khosravi, John Lygeros
2024 J jnl
In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process.
CoRR
Baris Kavas, Efe C. Balta, Michael R. Tucker, Raamadaas Krishnadas, Alisa Rupenyan, John Lygeros, Markus Bambach
2024 J jnl
Iterative Learning Control with Mismatch Compensation for Residual Vibration Suppression in Delta Robots.
CoRR
Mingkun Wu, Alisa Rupenyan, Burkhard Corves
2024 — conf
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models.
CASE
Jiaqi Yan, Ankush Chakrabarty, Alisa Rupenyan, John Lygeros
2024 J jnl
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models.
CoRR
Jiaqi Yan, Ankush Chakrabarty, Alisa Rupenyan, John Lygeros
2024 A* conf
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel.
NeurIPS
Jialin Li, Marta Zagórowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros
2024 J jnl
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel.
CoRR
Jialin Li, Marta A. Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros
2024 J jnl
Singularity-Avoidance Control of Robotic Systems with Model Mismatch and Actuator Constraints.
CoRR
Mingkun Wu, Alisa Rupenyan, Burkhard Corves
2023 J jnl
Efficient safe learning for controller tuning with experimental validation.
CoRR
Marta A. Zagorowska, Christopher König, Hanlin Yu, Efe C. Balta, Alisa Rupenyan, John Lygeros
2023 J jnl
Layer-to-Layer Melt Pool Control in Laser Power Bed Fusion.
CoRR
Dominic Liao-McPherson, Efe C. Balta, Mohamadreza Afrasiabi, Alisa Rupenyan, Markus Bambach, John Lygeros
2023 J jnl
Safe Risk-Averse Bayesian Optimization for Controller Tuning.
IEEE Robotics Autom. Lett.
Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
2023 J jnl
Safe Risk-averse Bayesian Optimization for Controller Tuning.
CoRR
Christopher König, Miks Ozols, Anastasia Makarova, Efe C. Balta, Andreas Krause, Alisa Rupenyan
2023 J jnl
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization.
IEEE Trans. Ind. Electron.
Mohammad Khosravi, Christopher König, Markus Maier, Roy S. Smith, John Lygeros, Alisa Rupenyan
2023 — conf
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems.
CCTA
Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros
2023 J jnl
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems.
CoRR
Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros
2023 J jnl
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers.
CoRR
Xavier Guidetti, Efe C. Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros
2023 J jnl
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors.
CoRR
Marta A. Zagorowska, Lukas Ortmann, Alisa Rupenyan, Mehmet Mercangöz, Lars Imsland
2022 J jnl
Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization.
IEEE Robotics Autom. Lett.
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
2022 J jnl
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization.
CoRR
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
2022 — conf
Batch Model Predictive Control for Selective Laser Melting.
ECC
Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros
2022 C conf
Controller-Aware Dynamic Network Management for Industry 4.0.
IECON
Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan
2022 J jnl
Controller-Aware Dynamic Network Management for Industry 4.0.
CoRR
Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan
2022 J jnl
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements.
CoRR
Xavier Guidetti, Marino Kühne, Yannick Nagel, Efe C. Balta, Alisa Rupenyan, John Lygeros
2022 J jnl
Data-driven Reference Trajectory Optimization for Precision Motion Systems.
CoRR
Samuel Balula, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros
2022 J jnl
Drone-based Volume Estimation in Indoor Environments.
CoRR
Samuel Balula, Dominic Liao-McPherson, Stefan Stevsic, Alisa Rupenyan, John Lygeros
2022 — conf
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process.
ECC
Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros
2022 J jnl
Information-Operation Technology Integration in Industrial Cyberphysical Systems.
Computer
Mohammad H. Mamduhi, Efe C. Balta, Alisa Rupenyan, John Lygeros
2022 Misc conf
Meta-Learning Priors for Safe Bayesian Optimization.
CoRL
Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause
2022 J jnl
Meta-Learning Priors for Safe Bayesian Optimization.
CoRR
Jonas Rothfuss, Christopher König, Alisa Rupenyan, Andreas Krause
2022 J jnl
On Robustness in Optimization-Based Constrained Iterative Learning Control.
CoRR
Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros
2022 J jnl
On Robustness in Optimization-Based Constrained Iterative Learning Control.
IEEE Control. Syst. Lett.
Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros
2022 J jnl
Performance-Driven Cascade Controller Tuning With Bayesian Optimization.
IEEE Trans. Ind. Electron.
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros
2021 J jnl
Batch Model Predictive Control for Selective Laser Melting.
CoRR
Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros
2021 J jnl
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process.
CoRR
Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros
2021 A* conf
Learning from Simulation, Racing in Reality.
ICRA
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros
2021 — conf
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation.
CDC
Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros
2021 J jnl
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation.
CoRR
Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros
2021 — conf
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization.
CDC
Alisa Rupenyan, Mohammad Khosravi, John Lygeros
2021 J jnl
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization.
CoRR
Alisa Rupenyan, Mohammad Khosravi, John Lygeros
2021 — conf
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization.
CASE
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
2021 A* conf
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization.
ICRA
Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause
2021 J jnl
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization.
CoRR
Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause
2021 J jnl
Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization.
CoRR
Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros
2020 J jnl
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization.
CoRR
Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan, John Lygeros
2020 J jnl
Learning from Simulation, Racing in Reality.
CoRR
Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros
2020 A conf
Optimization-Based Hierarchical Motion Planning for Autonomous Racing.
IROS
José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
2020 J jnl
Optimization-Based Hierarchical Motion Planning for Autonomous Racing.
CoRR
José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros
2020 J jnl
Performance-Driven Cascade Controller Tuning with Bayesian Optimization.
CoRR
Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros
2020 — conf
Reference design for closed loop system optimization.
ECC
Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros
2020 J jnl
Reference design for closed loop system optimization.
CoRR
Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros
2020 J jnl
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization.
CoRR
Christopher König, Mohammad Khosravi, Markus Maier, Roy S. Smith, Alisa Rupenyan, John Lygeros
2020 J jnl
Self-Optimizing Grinding Machines using Gaussian Process Models and Constrained Bayesian Optimization.
CoRR
Markus Maier, Alisa Rupenyan, Christian Bobst, Konrad Wegener
2019 — conf
Real-Time Predictive Control for Precision Machining.
CDC
Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros
2019 J jnl
Real-Time Predictive Control for Precision Machining.
CoRR
Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros