Real-Time Predictive Control for Precision Machining. - Alexander Liniger; Luca Varano; Alisa Rupenyan; John Lygeros (CDC, 2019)

Reference design for closed loop system optimization. - Samuel Balula; Alexander Liniger; Alisa Rupenyan; John Lygeros (ECC, 2020)

Optimization-Based Hierarchical Motion Planning for Autonomous Racing. - José L. Vázquez; Marius Brühlmeier; Alexander Liniger; Alisa Rupenyan; John Lygeros (IROS, 2020)

Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization. - Mohammad Khosravi; Varsha Behrunani; Roy S. Smith; Alisa Rupenyan; John Lygeros (CoRR, 2020)

Self-Optimizing Grinding Machines using Gaussian Process Models and Constrained Bayesian Optimization. - Markus Maier; Alisa Rupenyan; Christian Bobst; Konrad Wegener (CoRR, 2020)

Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization. - Xavier Guidetti; Alisa Rupenyan; Lutz Fassl; Majid Nabavi; John Lygeros (CASE, 2021)

Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. - Efe C. Balta; Kira Barton; Dawn M. Tilbury; Alisa Rupenyan; John Lygeros (CDC, 2021)

Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization. - Alisa Rupenyan; Mohammad Khosravi; John Lygeros (CDC, 2021)

Learning from Simulation, Racing in Reality. - Eugenio Chisari; Alexander Liniger; Alisa Rupenyan; Luc Van Gool; John Lygeros (ICRA, 2021)

Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. - Christopher König; Matteo Turchetta; John Lygeros; Alisa Rupenyan; Andreas Krause 001 (ICRA, 2021)

Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization. - Xavier Guidetti; Alisa Rupenyan; Lutz Fassl; Majid Nabavi; John Lygeros (CoRR, 2021)

Meta-Learning Priors for Safe Bayesian Optimization. - Jonas Rothfuss; Christopher König; Alisa Rupenyan; Andreas Krause 001 (CoRL, 2022)

In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. - Dominic Liao-McPherson; Efe C. Balta; Ryan Wüest; Alisa Rupenyan; John Lygeros (ECC, 2022)

Batch Model Predictive Control for Selective Laser Melting. - Riccardo Zuliani; Efe C. Balta; Alisa Rupenyan; John Lygeros (ECC, 2022)

Controller-Aware Dynamic Network Management for Industry 4.0. - Efe C. Balta; Mohammad H. Mamduhi; John Lygeros; Alisa Rupenyan (IECON, 2022)

Information-Operation Technology Integration in Industrial Cyberphysical Systems. - Mohammad H. Mamduhi; Efe C. Balta; Alisa Rupenyan; John Lygeros (Computer, 2022)

Data-driven Reference Trajectory Optimization for Precision Motion Systems. - Samuel Balula; Dominic Liao-McPherson; Alisa Rupenyan; John Lygeros (CoRR, 2022)

Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements. - Xavier Guidetti; Marino Kühne; Yannick Nagel; Efe C. Balta; Alisa Rupenyan; John Lygeros (CoRR, 2022)

Drone-based Volume Estimation in Indoor Environments. - Samuel Balula; Dominic Liao-McPherson; Stefan Stevsic; Alisa Rupenyan; John Lygeros (CoRR, 2022)

On Robustness in Optimization-Based Constrained Iterative Learning Control. - Dominic Liao-McPherson; Efe C. Balta; Alisa Rupenyan; John Lygeros (IEEE Control. Syst. Lett., 2022)

Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization. - Xavier Guidetti; Alisa Rupenyan; Lutz Fassl; Majid Nabavi; John Lygeros (IEEE Robotics Autom. Lett., 2022)

Performance-Driven Cascade Controller Tuning With Bayesian Optimization. - Mohammad Khosravi; Varsha Behrunani; Piotr Myszkorowski; Roy S. Smith; Alisa Rupenyan; John Lygeros (IEEE Trans. Ind. Electron., 2022)

Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems. - Samuel Balula; Efe C. Balta; Dominic Liao-McPherson; Alisa Rupenyan; John Lygeros (CCTA, 2023)

Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers. - Xavier Guidetti; Efe C. Balta; Yannick Nagel; Hang Yin; Alisa Rupenyan; John Lygeros (CoRR, 2023)

Layer-to-Layer Melt Pool Control in Laser Power Bed Fusion. - Dominic Liao-McPherson; Efe C. Balta; Mohamadreza Afrasiabi; Alisa Rupenyan; Markus Bambach; John Lygeros (CoRR, 2023)

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors. - Marta A. Zagorowska; Lukas Ortmann; Alisa Rupenyan; Mehmet Mercangöz; Lars Imsland (CoRR, 2023)

Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. - Mohammad Khosravi; Christopher König; Markus Maier; Roy S. Smith; John Lygeros; Alisa Rupenyan (IEEE Trans. Ind. Electron., 2023)

Safe Risk-Averse Bayesian Optimization for Controller Tuning. - Christopher König; Miks Ozols; Anastasia Makarova; Efe C. Balta; Andreas Krause 001; Alisa Rupenyan (IEEE Robotics Autom. Lett., 2023)

MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models. - Jiaqi Yan; Ankush Chakrabarty; Alisa Rupenyan; John Lygeros (CASE, 2024)

Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel. - Jialin Li; Marta Zagórowska; Giulia De Pasquale; Alisa Rupenyan; John Lygeros (NeurIPS, 2024)

Force Controlled Printing for Material Extrusion Additive Manufacturing. - Xavier Guidetti; Nathan Mingard; Raul Cruz-Oliver; Yannick Nagel; Marvin Rueppel; Alisa Rupenyan; Efe C. Balta; John Lygeros (CoRR, 2024)

In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process. - Baris Kavas; Efe C. Balta; Michael R. Tucker; Raamadaas Krishnadas; Alisa Rupenyan; John Lygeros; Markus Bambach (CoRR, 2024)

Singularity-Avoidance Control of Robotic Systems with Model Mismatch and Actuator Constraints. - Mingkun Wu; Alisa Rupenyan; Burkhard Corves (CoRR, 2024)

Iterative Learning Control with Mismatch Compensation for Residual Vibration Suppression in Delta Robots. - Mingkun Wu; Alisa Rupenyan; Burkhard Corves (CoRR, 2024)

Efficient safe learning for controller tuning with experimental validation. - Marta A. Zagorowska; Christopher König; Hanlin Yu; Efe C. Balta; Alisa Rupenyan; John Lygeros (Eng. Appl. Artif. Intell., 2025)

Adaptive Bayesian Optimization for High-Precision Motion Systems. - Christopher König; Raamadaas Krishnadas; Efe C. Balta; Alisa Rupenyan (IEEE Trans Autom. Sci. Eng., 2025)

Guided Bayesian Optimization: Data-Efficient Controller Tuning With Digital Twin. - Mahdi Nobar; Jürg Keller; Alisa Rupenyan; Mohammad Khosravi; John Lygeros (IEEE Trans Autom. Sci. Eng., 2025)

Layer-to-Layer Melt Pool Control in Laser Powder Bed Fusion. - Dominic Liao-McPherson; Efe C. Balta; Mohamadreza Afrasiabi; Alisa Rupenyan; Markus Bambach; John Lygeros (IEEE Trans. Control. Syst. Technol., 2025)

Iterative Learning Predictive Control for Constrained Uncertain Systems. - Riccardo Zuliani; Efe C. Balta; Alisa Rupenyan; John Lygeros (CoRR, 2025)

Autogeneration and optimization of pick-and-place trajectories in robotic systems: A data-driven approach. - Mingkun Wu; Alisa Rupenyan; Burkhard Corves (Robotics Comput. Integr. Manuf., 2026)