Dr.-Ing. Andreas Völz
Dr.-Ing. Andreas Völz
Senior Lecturer
Cauerstr. 7
91058 Erlangen
Department of Electrical-Electronic-Communication Engineering
Chair of Automatic Control (Prof. Dr.-Ing. Graichen)
Cauerstr. 7
91058 Erlangen
- Phone number: +49 9131 85-61036
- Fax number: +49 9131 85-28715
- Email: andreas.voelz@fau.de
Biography
| since 09/2021 | Lecturer, Chair of Automatic Control, Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 04/2019 – 08/2021 | Postdoc, Chair of Automatic Control, Friedrich-Alexander-Universität Erlangen-Nürnberg |
| 10/2014 – 03/2019 | Research assistant, Institute of Measurement, Control and Microtechnology, Ulm University |
| 10/2012 – 09/2014 | Master of Science in Communications and Computer Engineering, Ulm University |
| 10/2009 – 09/2012 | Bachelor of Science in Communications and Computer Engineering, Ulm University |
Research interests
- Collision-free motion planning
- Cooperative dual-arm manipulation
- Human-robot interaction
Supervised theses
- Fangen sphärischer Objekte mit einem mobilen Zweiarmroboter
- Mobile robot navigation through narrow passages
- Visualisierung von numerischer Optimierung durch Augmented Reality Sandbox
- Entwurf, Implementierung und Test eines Störbeobachters für eine modellprädiktive Pfadfolgeregelung
- Einführung in das modellbasierte Reinforcement Learning
- Modellprädiktive Regelung eines Fahrzeugs zur Kollisionsvermeidung
- Zustandsschätzung nichtlinearer Systeme mittels Moving Horizon Estimation
- Automatisches Differenzieren für die numerische Lösung von Optimierungsproblemen
- Schnelle Rasterung von 3D-Modellen in der Robotik
- Vergleich von optimierungsbasierten Verfahren zur Bewegungsplanung in der Robotik
- Erkennung dynamischer Hindernisse für die Bewegungsplanung eines Roboterarms
- Modeling and identification of the human cardiovascular system for blood pressure estimation (Co-supervision with Paulina Spenger)
- Identifikation der dynamischen Parameter des Roboters KUKA LBR iiwa 7 R800
- MPC-basierte Störgrößenkompensation mit zwei Freiheitsgraden zur automatisierten Fahrzeugführung
- Analyzing the effect of design choices in model-based reinforcement learning (Co-supervision with Georgios Kontes)
- Reinforcement learning using Gaussian processes and model predictive control (Co-supervision with Georgios Kontes)
- Hierarchical learning and model predictive control (Co-supervision with Georgios Kontes)
- Prädiktive Pfadfolgeregelung für die kollisionsfreie Bewegungsplanung von redundanten Robotern
- Bewegungsplanung für Roboterarme mit hierarchischen Dynamic Roadmaps
- Bewegungsplanung mit Interior Point-Verfahren für Roboter mit geschlossener Kinematik
- Modellprädiktive Nachgiebigkeitsregelung von Roboterarmen
- Modellprädiktive Regelung eines Roboterarms unter Einbeziehung menschlicher Wahrnehmungsmodelle
- Echtzeitfähige Implementierung einer stochastischen modellprädiktiven Regelung mit Pfadintegralen
- Nichtlineare stochastische modellprädiktive Regelung mit Pfadintegralen
- Entwicklung eines Praktikumsversuchs zur Programmierung eines Industrieroboters
- Entwicklung eines prädiktiven Planungsverfahrens für die flexible Produktion
- Bewegungsplanung für einen Zweiarmroboter mit geschlossener Kinematik
Publications
2025
- Pierer von Esch, M., Nistler, E., Völz, A., & Graichen, K. (2025). Sensitivity-based distributed NMPC: Experimental results for a levitating planar motion system. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/TCST.2025.3530165
- Pierer von Esch, M., Völz, A., & Graichen, K. (2025). A fixed-point iteration scheme for sensitivity-based distributed optimal control. IEEE Transactions on Automatic Control, 70(4), 2778-2785. https://doi.org/10.1109/TAC.2024.3505753
- Pierer von Esch, M., Völz, A., & Graichen, K. (2025). Asynchronous sensitivity-based distributed optimal control for nonlinear systems. In Proceedings of the 2025 American Control Conference (ACC). Denver, CO (USA).
- Pierer von Esch, M., Völz, A., & Graichen, K. (2025). Sensitivity-Based Distributed Model Predictive Control for Nonlinear Systems under Inexact Optimization. Optimal Control Applications & Methods, (accepted).
2024
- Dahlmann, J., Graichen, K., & Völz, A. (2024). Ein Konzept zum automatisierten Rangieren von Fahrzeugen mit Anhängern.
- Dahlmann, J., Völz, A., Lukassek, M., & Graichen, K. (2024). Local predictive optimization of globally planned motions for truck-trailer systems. IEEE Transactions on Control Systems Technology, 32(5), 1555-1568. https://doi.org/10.1109/TCST.2023.3345169
- Goller, T., Brohm, D., Völz, A., & Graichen, K. (2024). DMP-based path planning for model predictive interaction control. In Proceedings of the European Control Conference (pp. 128-133). Stockholm (Sweden).
- Goller, T., Völz, A., & Graichen, K. (2024). A Programming by Demonstration Approach for Robotic Manipulation with Model Predictive Interaction Control. In Proceedings of the 2024 IEEE Conference on Control Technology and Applications (CCTA) (pp. 799-804). Newcastle upon Tyne, United Kingdom.
- Lukassek, M., Dahlmann, J., Völz, A., & Graichen, K. (2024). Model predictive path-following control for truck–trailer systems with specific guidance points - Design and experimental validation. Mechatronics, 100, 103190. https://doi.org/10.1016/j.mechatronics.2024.103190
- Pierer von Esch, M., Landgraf, D., Steffel, M., Völz, A., & Graichen, K. (2024). Distributed stochastic optimal control of nonlinear systems based on ADMM. In Proceedings of the 63th IEEE Conference on Decision and Control (CDC 2024). Milan (Italy).
- Pierer von Esch, M., Landgraf, D., Steffel, M., Völz, A., & Graichen, K. (2024). Distributed Stochastic Optimal Control of Nonlinear Systems based on ADMM. IEEE Control Systems Letters, 8, 424-429. https://doi.org/10.1109/LCSYS.2024.3393411
- Pierer von Esch, M., Völz, A., & Graichen, K. (2024). Asynchronous ADMM for Nonlinear Continuous-Time Systems. Optimal Control Applications & Methods.
- Pierer von Esch, M., Völz, A., & Graichen, K. (2024). Sensitivity-based distributed model predictive control: synchronous and asynchronous execution compared to ADMM. At-Automatisierungstechnik, 72(2), 91-106. https://doi.org/10.1515/auto-2023-0050
- Pierer von Esch, M., Völz, A., & Graichen, K. (2024). Sensitivity-Based Distributed Model Predictive Control: Synchronous and Asynchronous Execution Compared to ADMM. At-Automatisierungstechnik, 72(2), 91-106. https://doi.org/10.1515/auto-2023-0050
2023
- Dio, M., Völz, A., & Graichen, K. (2023). Cooperative dual-arm control for heavy object manipulation based on hierarchical quadratic programming. In Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 643-648). Detroit, US.
- Gold, T., Völz, A., & Graichen, K. (2023). Model predictive interaction control for robotic manipulation tasks. IEEE Transactions on Robotics, 39(1), 76-89. https://doi.org/10.1109/TRO.2022.3196607
- Jalilian, A., Schwarz, N., Völz, A., & Ritschel, R. (2023). Cascaded Disturbance Compensation for MPC-based Autonomous Vehicle Guidance. In 2023 31st Mediterranean Conference on Control and Automation, MED 2023 (pp. 932-937). Limassol, CYP: Institute of Electrical and Electronics Engineers Inc..
- Landgraf, D., Völz, A., Berkel, F., Schmidt, K., Specker, T., & Graichen, K. (2023). Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control. Annual Reviews in Control, 56, 100905. https://doi.org/10.1016/j.arcontrol.2023.100905
- Ullrich, L., Völz, A., & Graichen, K. (2023). Robust meta-learning of vehicle yaw rate dynamics via conditional neural processes. In Proceedings of the 62nd IEEE Conference on Decision and Control (CDC). Marina Bay Sands (Singapore).
- Burk, D., Völz, A., & Graichen, K. (2022). A modular framework for distributed model predictive control of nonlinear continuous-time systems (GRAMPC-D). Optimization and Engineering, 23, 771-795. https://doi.org/10.1007/s11081-021-09605-3
- Burk, D., Völz, A., & Graichen, K. (2022). Improving the performance of distributed model predictive control by applying graph partitioning methods. In Proceedings of the 26th International Conference on System Theory, Control and Computing (ICSTCC). Sinaia (Romania).
- Dahlmann, J., Völz, A., Szabo, T., & Graichen, K. (2022). A numerical approach for solving the inversion problem for general n-trailer systems. In Proceedings 2022 American Control Conference (ACC) (pp. 2018-2024). Atlanta, GA (USA).
- Dahlmann, J., Völz, A., Szabo, T., & Graichen, K. (2022). Trajectory optimization for truck-trailer systems based on predictive path-following control. In Proceedings of the 6th IEEE Conference on Control Technology and Applications (CCTA). Trieste (Italy).
- Gold, T., Römer, R., Völz, A., & Graichen, K. (2022). Catching objects with a robot arm using model predictive control. In Proceedings 2022 American Control Conference (ACC) (pp. 1915-1920). Atlanta, GA (USA).
- Goller, T., Gold, T., Völz, A., & Graichen, K. (2022). Model predictive interaction control based on a path-following formulation. In Proceedings IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 551-556). Guilin (China).
- Landgraf, D., Völz, A., & Graichen, K. (2022). Nonlinear model predictive control with latent force models. In Proceedings 2022 American Control Conference (ACC) (pp. 4979-4984). Atlanta, GA (USA).
- Landgraf, D., Völz, A., Kontes, G., Graichen, K., & Mutschler, C. (2022). Hierarchical learning for model predictive collision avoidance. In IFAC PapersOnLine (pp. 355-360). Vienna (Austria).
- Burk, D., Völz, A., & Graichen, K. (2021). Experimental validation of the open-source DMPC framework GRAMPC-D applied to the remote-accessible robotarium. In Proceedings of the IEEE International Conference on Mechatronics and Automation (ICMA).
- Burk, D., Völz, A., & Graichen, K. (2021). Towards asynchronous ADMM for distributed model predictive control of nonlinear systems. In Proceedings European Control Conference (ECC 2021) (pp. 1950-1955).
- Gold, T., Rohrmüller, M., Völz, A., & Graichen, K. (2021). Model predictive interaction control for force closure grasping. In Proceedings of the 2021 IEEE Conference on Decision and Control (CDC) (pp. 1018-1023). Austin, TX, USA.
- Lukassek, M., Völz, A., Szabo, T., & Graichen, K. (2021). Model predictive path-following control for general n-trailer systems with an arbitrary guidance point. In Proceedings European Control Conference (ECC 2021) (pp. 1329-1334).
- Völz, A., & Graichen, K. (2021). Gradient-based nonlinear model predictive control for systems with state-dependent mass matrix. In Proceedings of the 2021 IEEE Conference on Decision and Control (CDC), accepted.
- Burk, D., Völz, A., & Graichen, K. (2020). Distributed optimization with ALADIN for non-convex optimal control problems. In 59th IEEE Conference on Decision and Control (CDC 2020).
- Burk, D., Völz, A., & Graichen, K. (2020). Neighbor approximations for distributed optimal control of nonlinear networked systems. In Proceedings of the European Control Conference (ECC 2020) (pp. 1238-1243).
- Gold, T., Lomakin, A., Goller, T., Völz, A., & Graichen, K. (2020). Towards a Generic Manipulation Framework for Robots based on Model Predictive Interaction Control. In Proceedings of the IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 401 - 407). Beijing, CN.
- Gold, T., Völz, A., & Graichen, K. (2020). Model Predictive Interaction Control for Industrial Robots. In Proceedings of the 21st IFAC World Congress (pp. 10026 - 10033). Berlin, DE.
- Gold, T., Völz, A., & Graichen, K. (2020). Model Predictive Position and Force Trajectory Tracking Control for Robot-Environment Interaction. In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 7397-7402). Las Vegas, NV, USA, US.
- Graichen, K., & Völz, A. (2020). Prädiktive Pfadfolgeregelung für die kollisionsfreie Bewegungsplanung von Robotern.
- Lukassek, M., Völz, A., Szabo, T., & Graichen, K. (2020). Model predictive control for agricultural machines with implements. In Proceedings 28th Mediterranean Conference on Control and Automation (MED) (pp. 387-392).
- Völz, A., & Graichen, K. (2020). Prädiktive Pfadfolgeregelung für die kollisionsfreie Bewegungsplanung von Robotern. At-Automatisierungstechnik, 68(7), 557-570. https://doi.org/10.1515/auto-2020-0048
2019
- Burk, D., Völz, A., & Graichen, K. (2019). Towards a modular framework for distributed model predictive control of nonlinear neighbor-affine systems. In 58th IEEE Conference on Decision and Control (CDC 2019) (pp. 5279-5284). Nice (France).
- Englert, T., Völz, A., Mesmer, F., Rhein, S., & Graichen, K. (2019). A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC). Optimization and Engineering, 20(3), 769-809. https://doi.org/10.1007/s11081-018-9417-2
- Gold, T., Völz, A., & Graichen, K. (2019). External torque estimation for an industrial robot arm using joint torsion and motor current measurements. In Joint Conference 8th IFAC Symposium on Mechatronic Systems (MECHATRONICS) and 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS) (pp. 879-884). Vienna (Austria).
- Völz, A., & Graichen, K. (2019). A predictive path-following controller for continuous replanning with dynamic roadmaps. IEEE Robotics and Automation Letters, 4(4), 3963-3970. https://doi.org/10.1109/LRA.2019.2929990
2018
- Völz, A., & Graichen, K. (2018). An optimization-based approach to dual-arm motion planning with closed kinematics. In Proceedings 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 8346-8351). Madrid (Spain).
- Völz, A., & Graichen, K. (2018). Computation of collision distance and gradient using an automatic sphere approximation of the robot model with bounded error. In Proceedings 50th International Symposium on Robotics (ISR) (pp. 322-329). München (Germany).
2017
- Völz, A., & Graichen, K. (2017). Composition of dynamic roadmaps for dual-arm motion planning. In Proceedings 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM 2017) (pp. 1242-1248). Munich (Germany).
- Völz, A., & Graichen, K. (2017). Composition of dynamic roadmaps for dual-Arm motion planning. In Proceedings of the 2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 (pp. 1242-1248). Institute of Electrical and Electronics Engineers Inc..
2016
- Völz, A., & Graichen, K. (2016). Distance metrics for path planning with dynamic roadmaps. In Proceedings of the 47th International Symposium on Robotics, ISR 2016 (pp. 126-132). VDE Verlag GmbH.
- Völz, A., & Graichen, K. (2016). Distance metrics for path planning with dynamic roadmaps. In Proceedings 47th International Symposium on Robotics (ISR) (pp. 126-132). München (Germany).
- Völz, A., & Graichen, K. (2016). Gradient-based stochastic model predictive control using the unscented transformation Gradientenbasierte stochastische modellprädiktive Regelung unter Verwendung der Unscented-Transformation. At-Automatisierungstechnik, 64(8), 658-670. https://doi.org/10.1515/auto-2016-0035
- Völz, A., & Graichen, K. (2016). Gradientenbasierte stochastische modellprädiktive Regelung unter Verwendung der Unscented-Transformation. At-Automatisierungstechnik, 64(8), 658-670. https://doi.org/10.1515/auto-2016-0035
2015
- Völz, A., & Graichen, K. (2015). Stochastic model predictive control of nonlinear continuous-time systems using the unscented transformation. In Proceedings of the European Control Conference, ECC 2015 (pp. 3365-3370). Institute of Electrical and Electronics Engineers Inc..
- Völz, A., & Graichen, K. (2015). Stochastic model predictive control of nonlinear continuous-time systems using the unscented transformation. In Proceedings 2015 European Control Conference (ECC) (pp. 3370-3375). Linz (Austria).
- Völz, A., & Graichen, K. (2015). Stochastische modellprädiktive Regelung unsicherer nichtlinearer Systeme basierend auf der Unscented-Transformation. In Proceedings GMA Fachausschuss 1.40 ``Theoretische Verfahren der Regelungstechnik'' (pp. 293-301). Salzburg (Austria).