Cooperative Systems

Vision

How will automation interact with humans in the future?

How to create synergies between humans and machines in the context of Industry 4.0?

The research group Cooperative Systems develops a framework for modeling and control of interactions between humans and machines. The individual strengths of human and machine are combined to achieve high performance systems, ready to meet future challenges of automatization. The fields of applications are e.g. Advanced Driver Assistance Systems, Robotics, Medical Technologies and Aerospace Engineering.

Cooperative Control Loop

Modeling and Identification

The modeling of cooperative systems forms the basis of automation design for cooperative scenarios. In this context, uncertainties in perception and action need to be considered. Furthermore, semantics enable a strategic description of the interaction. Moreover, the identification of human behavior is essential in automation design.

Control Synthesis

Automation design in a cooperative scenario needs to be capable of a dynamic allocation of authority. Furthermore, it requires the ability to negotiate a common goal with the human. One approach to control cooperative systems is based on game theory and Model Predictive Control (MPC). In order to achieve real-time control, motion primitives are examined.

Experiments

	Motion Tracking is used in various scenarios to measure human motion and validate identification methods.
	An Advanced Driving Simulator with haptic feedback human machine interfaces was developed at the IRS. It is used to validate cooperative control methods in the context of advanced driver assistance systems.
	A newly developed Ball-on-Plate experiment will be used to apply cooperative identification and control methods in a highly dynamical scenario.

Staff

	Balint Varga Head of Research Group Research Interest: Cooperative control of mobile machinery
	Christian Braun Research Associate Research Interest: Shared control of heterogenous robot swarms		Julian Schneider Research Associate Research Interest: Multi level connection for the consistent design of cooperative human-machine systems
	Philipp Karg Research Associate Research Interest: Modeling and Identification in Cooperative Human-Machine Scenarios		Sean Kille Research Associate Research Interest:
	Esther Bischoff Research Associate Research Interest:		Felix Thömmes Research Associate Research Interest:

Student Assistants

Hongdong Zhao

Software development and experimental implementation in the field of multi-robot manufacturing system

Recent job offers for student assistants can be found here.

Bachelor and Master Students

	Jens Kienle Master Thesis Entwicklung und Implementierung einer kooperativen Trajektorienplanung zwischen einem Menschen und einem Roboter		Paul Leibold Master Thesis Entwicklung einer optimalen Impedanzregelung für die Mensch-Maschine-Interaktion
	Héloise Wagner Bachelor Thesis Untersuchung der Freiheitsgrade und Trajektorien einer medizintechnischen, kooperativen Aufstehhilfe basierend auf einem Robotersystem		Leon Sobeloff Bachelor Thesis Entwurf und Durchführung einer Studie zu menschenzentrierten Regelungskonzepten
	Karl Handwerker Master Thesis Spieltheoretische Konzepte für die Mensch-Maschine-Interaktion bei kooperativen chirurgischen Robotern		Simon Meyer Master Thesis Entwicklung und Implementierung einer kollaborativen Trajektorienplanung zwischen Mensch und Roboter
	Luca Brenzinger Bachelor Thesis Aufbau eines medizintechnischen Laborversuchs zur Begleitung von Patienten mit einem bewegten Roboterarm		Niels Tiberius Straky Master Thesis Implementierung und Test einer kollaborativen Trajektorienplanung zwischen Mensch und Roboter
	Sebastian Fritz Bachelor Thesis Entwurf und Implementierung einer kollaborativen Mensch-Roboter-Interaktionsumgebung		Michael Poncelet Bachelor Thesis Implementierung von Positionsbeschränkungen für ein Augenoperation-System mit kooperativer Regelung
	Ventsislav Dokusanski Bachelor Thesis Trajektorien des menschlichen Aufstehens für die Entwicklung eines kooperativen Assistenzsystems		Yang Shen Master Thesis Entwicklung und Implementierung einer kollaborativen Aufstehunterstützung
	Viktor Ivanov Bachelor Thesis Entwurf und Implementierung eines Shared Control Konzepts für einen intelligenten Rollstuhl		Jonas Züfle Master Thesis Adaptive Shared Control for Precision Trajectory Tracking
	Nur Khaled El-Khatib Bachelor Thesis Schätzung der Endeffektor-Momente einer medizintechnischen Aufstehhilfe aus den Motorströmen zur Umsetzung eines Kooperationsalgorithmus

Open Theses Cooperative Systems
Title	Type	Supervisor
Aufbau und Durchführung einer Studie für den Vergleich dreier haptischer Mensch-Roboter-Trajektorienplanungsverfahren	Bachelor Thesis	M. Sc. Julian Schneider
Aufbau und Durchführung einer Studie für den Vergleich dreier haptischer Mensch-Roboter-Trajektorienplanungsverfahren	Master Thesis	M. Sc. Julian Schneider
Entwurf und Implementierung einer kollaborativen Mensch-Mensch-Interaktionsumgebung	Master Thesis	M. Sc. Sean Kille
Intentionsschätzung eines Fußgängers für eine sichere Interaktion mit autonomen Fahrzeugen	Bachelor/-Master Thesis	M. Sc. Balint Varga
Untersuchung von Verhandlungsalgorithmen in gemischten Verkehrsszenarien	Bachelor Thesis	M. Sc. Balint Varga
Aufbau eines medizintechnischen Laborversuchs zur Entwicklung einer kooperativen Patienten-Aufstehhilfe	Master Thesis	M. Sc. Balint Varga
Entwicklung von Steuerung- und Regelungskomponenten einer kooperativen Patienten-Aufstehhilfe	Bachelor Thesis	Dr.-Ing. Balint Varga

Publications

2024

High-energy nanosecond pulse extraction from a Tm-doped photonic crystal fiber laser emitting at 2050 nm with narrow linewidth
Schneider, J.; Lassiette, H.; Lorenz, D.; Forster, P.; Lautenschläger, J.; Panitzek, D.; Romano, C.; Eichhorn, M.; Kieleck, C.
2024. Optics Express, 32 (18), 32309–32321. doi:10.1364/OE.531146
Trustworthiness of Optimality Condition Violation in Inverse Dynamic Game Methods Based on the Minimum Principle
Karg, P.; Kienzle, A.; Kaub, J.; Varga, B.; Hohmann, S.
2024. IEEE Conference on Control Technology and Applications (CCTA 2024), 824–831, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA60707.2024.10666619
Bi-Level-Based Inverse Stochastic Optimal Control
Karg, P.; Hess, M.; Varga, B.; Hohmann, S.
2024. 2024 European Control Conference (ECC), 537–544, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC64448.2024.10591104
Heuristic reoptimization of time‐extended multi‐robot task allocation problems
Bischoff, E.; Kohn, S.; Hahn, D.; Braun, C.; Rothfuß, S.; Hohmann, S.
2024. Networks, 84 (1), 64–83. doi:10.1002/net.22217
The DLR Scout Rover during the 2022 Arches Demomission Space on Mount Etna: Operating the Rover outside of its Comfort Zone
Pignède, A.; Schütt, M.; Franke, D.; Lichtenheldt, R.; Schindler, W.; Braun, C.; Kille, S.; Schneider, J.; Fischer, L.; Witucki, L.; Hohmann, S.; Zhang, S.; Staudinger, E.; Pöhlmann, R.; Broghammer, F.; Dammann, A.; Gentner, C.
2024. Proceedings of the Deutscher Luft- und Raumfahrtkongress 2023, Stuttgart, 1–13, Deutsche Gesellschaft für Luft- und Raumfahrt (DGLR). doi:10.25967/610059

2023

Experimental Evaluation of Model Predictive Mixed-Initiative Variable Autonomy Systems Applied to Human-Robot Teams
Ramesh, A.; Braun, C. A.; Rothfuß, S.; Hohmann, S.; Stolkin, R.; Chiou, M.
2023. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 1-4, 2023, Hyatt Maui, Hawaii, USA, Institute of Electrical and Electronics Engineers (IEEE)
Human–Machine Cooperative Decision Making Outperforms Individualism and Autonomy
Rothfuß, S.; Wörner, M.; Inga, J.; Kiesel, A.; Hohmann, S.
2023. IEEE Transactions on Human-Machine Systems, 53 (4), 761–770. doi:10.1109/THMS.2023.3274916
Model Predictive fuzzy Control of the Degree of Automation Optimizing Robot Health
Braun, C. A.; Ramesh, A.; Rothfuß, S.; Chiou, M.; Stolkin, R.; Hohmann, S.
2023. 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI), 000381–000386, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SACI58269.2023.10158596
Nanosecond pulsed narrow-linewidth all-fiber source for ZGP-OPO pumping
Lorenz, D.; Romano, C.; Panitzek, D.; Forster, P.; Schneider, J.; Büker, H.; Eichhorn, M.; Kieleck, C.
2023. Optics Continuum, 2 (3), 660 – 669. doi:10.1364/OPTCON.486081
Variable Autonomy for Human-Robot Teaming (VAT)
Chiou, M.; Booth, S.; Lacerda, B.; Theodorou, A.; Rothfuß, S.
2023. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 932–934, Association for Computing Machinery (ACM). doi:10.1145/3568294.3579957
Validation of Stochastic Optimal Control Models for Goal-Directed Human Movements on the Example of Human Driving Behavior
Karg, P.; Stoll, S.; Rothfuß, S.; Hohmann, S.
2023. IFAC-PapersOnLine, 56 (2), 8320–8326. doi:10.1016/j.ifacol.2023.10.1021
Single-End-Pumped Tm:Ho-Codoped all-Fiber Laser at 2120 nm
Forster, P.; Panitzek, D.; Romano, C.; Lorenz, D.; Schneider, J.; Eichhorn, M.; Kieleck, C.
2023. 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 1–1, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CLEO/Europe-EQEC57999.2023.10232508
Enhancement of Path Tracking Accuracy for Physically Coupled Industrial Robots by Hybrid Position-Torque Compensation
Ye, X.; Schwartz, M.; Hohmann, S.
2023. 2023 European Control Conference (ECC), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC57647.2023.10178292
A Study on Psychological Flow Measure by Human-Machine Interaction Modeling
Kille, S.; Witucki, L.; Rothfuß, S.; Hohmann, S.
2023. IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Model Predictive Control of the Degree of Automation Optimizing Robot Health
Braun, C. A.; Ramesh, A.; Rothfuß, S.; Chiou, M.; Stolkin, R.; Hohmann, S.
2023. IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI 2023)
Using a Collaborative Robotic Arm as Human-Machine Interface: System Setup and Application to Pose Control Tasks
Braun, C. A.; Haide, L.; Fischer, L.; Kille, S.; Varga, B.; Rothfuss, S.; Hohmann, S.
2023. 2023 IEEE International Conference on Robotics and Automation (ICRA)
Model Predictive Degree of Automation Regulation for Mobile Robots Using Robot Vitals and Robot Health
Braun, C. A.; Ramesh, A.; Rothfuß, S.; Chiou, M.; Stolkin, R.; Hohmann, S.
2023. 22nd World Congress of the International Federation of Automatic Control (IFAC 2023), Yokohama, Japan, July 9–14, 2023
Inverse Stochastic Optimal Control for Linear-Quadratic Gaussian and Linear-Quadratic Sensorimotor Control Models
Karg, P.; Stoll, S.; Rothfus, S.; Hohmann, S.
2023. 2022 IEEE 61st Conference on Decision and Control (CDC), 2801–2808, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC51059.2022.9992798
Excitation for Adaptive Optimal Control of Nonlinear Systems in Differential Games
Karg, P.; Koepf, F.; Braun, C. A.; Hohmann, S.
2023. IEEE transactions on automatic control, 68 (1), 596–603. doi:10.1109/TAC.2022.3145651

2022

Human-Machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-Machine Systems
Inga, J.; Ruess, M.; Robens, J. H.; Nelius, T.; Rothfuß, S.; Kille, S.; Dahlinger, P.; Lindenmann, A.; Thomaschke, R.; Neumann, G.; Matthiesen, S.; Hohmann, S.; Kiesel, A.
2022. International Journal of Human-Computer Studies, 170, Article no: 102926. doi:10.1016/j.ijhcs.2022.102926
Human-Machine Cooperative Decision Making. PhD dissertation
Rothfuß, S.
2022, March 25. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000143873
Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen. PhD dissertation
Köpf, F.
2022, January 20. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000141973
Stiffness Optimized Multi-Robot Behavior Planning using Reduced Hessian Method
Ye, X.; Schwartz, M.; Hohmann, S.
2022. IFAC-PapersOnLine, 55 (38), 55–60. doi:10.1016/j.ifacol.2023.01.133
Finally! Insights into the ARCHES Lunar Planetary Exploration Analogue Campaign on Etna in summer 2022
Wedler, A.; Müller, M. G.; Schuster, M.; Durner, M.; Lehner, P.; Dömel, A.; Steidle, F.; Vayugundla, M.; Sakagami, R.; Meyer, L.; Smisek, M.; Stürzl, W.; Schmitz, N.; Vodermayer, B.; Prince, A. F.; Ehreiser, A.; Staudinger, E.; Pöhlmann, R.; Zhang, S.; Hellerer, M.; Lichtenheldt, R.; Franke, D.; Pignede, A. F. X.; Schindler, W.; Schütt, M.; Rebele, B.; Boerdijk, W.; Giubilato, R.; Reill, J.; Kuhne, M.; Lee, J.; Schröder, S.; Frohmann, S.; Seel, F.; Dietz, E.; Triebel, R.; Lii, N. Y.-S.; Bischoff, E.; Braun, C.; Kille, S.; Wormnes, K.; Pereira, A.; Carey, W.; Rossi, A. P.; Thomsen, L.; Graber, T.; Krüger, T.; Börner, A.; Irmisch, P.; Bussmann, K.; Paar, G.; Bauer, A.; Völk, S.; Rauer, H.; Hübers, H.-W.; Bals, J.; Hohmann, S.; Asfour, T.; Foing, B.; Albu-Schäffer, A. O.
2022. 73. International Astronautical Congress (IAC), 18-23 September 2022
Inverse Stochastic Optimal Control for Linear-Quadratic Gaussian and Linear-Quadratic Sensorimotor Control Models
Karg, P.; Stoll, S.; Rothfus, S.; Hohmann, S.
2022. doi:10.48550/arXiv.2210.17265
A Negotiation-Theoretic Framework for Control Authority Transfer in Mixed-Initiative Robotic Systems
Rothfus, S.; Chiou, M.; Inga, J.; Hohmann, S.; Stolkin, R.
2022. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 921–928, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC53654.2022.9945196
Belief Space Control with Intention Recognition for Human-Robot Cooperation
Braun, C. A.; Prezdnyakov, R.; Rothfus, S.; Hohmann, S.
2022. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1897–1903, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC53654.2022.9945170
Negotiation-based cooperative planning of local trajectories
Schneider, J.; Rothfuß, S.; Hohmann, S.
2022. Frontiers in control engineering, 3, Art.Nr. 1058980. doi:10.3389/fcteg.2022.1058980
Limited Information Shared Control: A Potential Game Approach
Varga, B.; Inga, J.; Hohmann, S.
2022. IEEE Transactions on Human-Machine Systems, 53 (2), 282–292. doi:10.1109/THMS.2022.3216789
Validation of a Limited Information Shared Controller: A Comparative Study
Varga, B.; Rothfuß, S.; Hohmann, S.
2022. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 949–954, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC53654.2022.9945512
Multi-level optimization approach for multi-robot manufacturing systems
Ye, X.; Shen, W.; Mamaev, I.; Bertram, T.; Bryg, M.; Schwartz, M.; Hohmann, S.; Asfour, T.; Hein, B.; Kipfmueller, M.; Kotschenreuther, J.
2022. 54th International Symposium on Robotics : (ISR Europe 2022) : 20-21 June 2022, Munich, Germany, 1–8, VDE Verlag

2021

Personalized Design and Experimental Validation of a Limited Information Cooperative Shared-Controller for Vehicle-Manipulators
Varga, B.; Inga, J.; Hohmann, S.
2021. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1489–1494, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC52423.2021.9659023
Methoden für inverse dynamische Spiele zur Identifikation des Verhaltens kooperativer Systeme = Inverse dynamic game methods for identification of cooperative system behavior
Inga Charaja, J. J.
2021. Automatisierungstechnik, 69 (8), 734–735. doi:10.1515/auto-2021-0054
Passing the Baton between Autopilot and Driver
Karg, P.; Kalb, L.; Bengler, K.; Hohmann, S.
2021. ATZ worldwide, 123 (2), 68–72. doi:10.1007/s38311-020-0609-y
Staffelstabübergabe zwischen Autopilot und Fahrer
Karg, P.; Kalb, L.; Bengler, K.; Hohmann, S.
2021. Automobiltechnische Zeitschrift, 123 (2), 66–70. doi:10.1007/s35148-020-0636-4
Preliminary Results for the Multi-Robot, Multi-Partner, Multi-Mission, Planetary Exploration Analogue Campaign on Mount Etna
Wedler, A.; Müller, M. G.; Schuster, M.; Durner, M.; Brunner, S.; Lehner, P.; Lehner, H.; Dömel, A.; Vayugundla, M.; Steidle, F.; Sakagami, R.; Meyer, L.; Smisek, M.; Stürzl, W.; Schmitz, N.; Vodermayer, B.; Prince, A. F.; Staudinger, E.; Hellerer, M.; Lichtenheldt, R.; Dietz, E.; Braun, C.; Rebele, B.; Boerdijk, W.; Giubilato, R.; Reill, J.; Kuhne, M.; Lee, J.; Villacampa, A. F.; Bargen, I.; Schröder, S.; Frohmann, S.; Seel, F.; Triebel, R.; Lii, N. Y.-S.; Bischoff, E.; Kille, S.; Wormnes, K.; Pereira, A.; Carey, W.; Rossi, A. P.; Thomsen, L.; Graber, T.; Krüger, T.; Kyr, P.; Börner, A.; Bussmann, K.; Paar, G.; Bauer, A.; Völk, S.; Kimpe, A.; Rauer, H.; Hübers, H.-W.; Bals, J.; Hohmann, S.; Asfour, T.; Foing, B.; Albu-Schäffer, A.
2021. Proceedings of the International Astronautical Congress (IAC). Vol A3, Code 177573, International Astronautical Federation (IAF)
Online Inverse Linear-Quadratic Differential Games Applied to Human Behavior Identification in Shared Control
Inga, J.; Creutz, A.; Hohmann, S.
2021. 2021 European Control Conference (ECC): 29 June – 2 July 2021, Delft, Netherlands, 353–360, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC54610.2021.9655110
Wertstromkinematik – Produktionssysteme neu gedacht – Interdisziplinäres Forscherteam arbeitet an der Produktionstechnik der Zukunft (Teil 1)
Mühlbeier, E.; Oexle, F.; Gönnheimer, P.; Fleischer, J.; Ye, X.; Hohmann, S.; Mamaev, I.; Bertram, T.; Bryg, M.; Kotschenreuther, J.; Kipfmüller, M.; Bremer, F.; Matthiesen, S.; Arndt, T.; Schulze, V.
2021. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116 (11), 847–851. doi:10.1515/zwf-2021-0179
Inverse Optimal Control with Continuous Updating for a Steering Behavior Model with Reference Trajectory
Kuchkarov, I.; Mitiai, G.; Petrosian, O.; Lepikhin, T.; Inga, J.; Hohmann, S.
2021. Mathematical Optimization Theory and Operations Research: Recent Trends: 20th International Conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021, Revised Selected Papers. Ed.: A. Strekalovsky, 387–402, Springer. doi:10.1007/978-3-030-86433-0_27
Entrepreneurship für Ingenieure - Konzeption einer innovativen interdisziplinären Lehrveranstaltung
Belgardt, S.; Doer, C.; Hohmann, S.; Karg, P.; Rothfuß, S.; Siebenrock, F.; Stork, W.; Terzidis, O.; Tittel, A.; Zwick, T.
2021. Handbuch Qualität in Studium, Lehre und Forschung, 76, 67–84
Ordinal Potential Differential Games to Model Human-Machine Interaction in Vehicle-Manipulators
Varga, B.; Inga, J.; Lemmer, M.; Hohmann, S.
2021. Proceedings of the IEEE CCTA 2021 : 5th IEEE Conference on Control Technology and Applications, 728–734, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA48906.2021.9658788
Adaptive Optimal Trajectory Tracking Control of Continuous-Time Systems
Bührle, E.; Köpf, F.; Inga, J.; Hohmann, S.
2021. 19th European Control Conference, June 29 - July 2, 2021, Rotterdam, Virtual Conference. doi:10.23919/ECC54610.2021.9655005
Adaptive Optimal Trajectory Tracking Control Applied to a Large-Scale Ball-on-Plate System
Köpf, F.; Kille, S.; Inga, J.; Hohmann, S.
2021. Proceedings of the 2021 American Control Conference (ACC), 26th - 28th May, New Orleans, LA, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ACC50511.2021.9482629
Inverse Dynamic Game Methods for Identification of Cooperative System Behavior. PhD dissertation
Inga Charaja, J. J.
2021. KIT Scientific Publishing. doi:10.5445/KSP/1000128612
Automatisierte kooperative Transition einer Regelungsaufgabe zwischen Mensch und Maschine am Beispiel des hochautomatisierten Fahrens. PhD dissertation
Ludwig, J.
2021. KIT Scientific Publishing. doi:10.5445/KSP/1000125864

2020

Iterative Method for Online Fractional Order and Parameter Identification
Stark, O.; Karg, P.; Hohmann, S.
2020. 2020 59th IEEE Conference on Decision and Control (CDC), Jeju, Korea (South), 14-18 Dec. 2020, 5159–5166, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC42340.2020.9304346
The n-Stage War of Attrition and its Inverse Game Towards its Application in Human-Machine Cooperative Decision Making
Rothfuß, S.; Tanaka, T. S.; Inga, J.; Hohmann, S.
2020. 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Korea (South), Korea (South), 14-18 Dec. 2020, 5386–5393, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC42340.2020.9303952
Inverse Dynamic Game Methods for Identification of Cooperative System Behavior. PhD dissertation
Inga Charaja, J. J.
2020, November 3. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125587/v2
Automatisierte kooperative Transition einer Regelungsaufgabe zwischen Mensch und Maschine am Beispiel des hochautomatisierten Fahrens. PhD dissertation
Ludwig, J.
2020, October 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000124439
A Study on Human-Machine Cooperation on Decision Level
Rothfuß, S.; Wörner, M.; Inga, J.; Hohmann, S.
2020. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, 11-14 Oct. 2020, 2291–2298, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC42975.2020.9282813
Adaptive Optimal Control for Reference Tracking Independent of Exo-System Dynamics
Köpf, F.; Westermann, J.; Flad, M.; Hohmann, S.
2020. Neurocomputing, 405, 173–185. doi:10.1016/j.neucom.2020.04.140
Personalisation and Control Transition Between Automation and Driver in Highly Automated Cars
Flad, M.; Karg, P.; Roitberg, A.; Martin, M.; Mazewitsch, M.; Lange, C.; Kenar, E.; Ahrens, L.; Flecken, B.; Kalb, L.; Karakaya, B.; Ludwig, J.; Pruksch, A.; Stiefelhagen, R.; Hohmann, S.
2020. Smart Automotive Mobility: Reliable Technology for the Mobile Human. Ed.: Gerrit Meixner, 1–70, Springer
Adaptive Dynamic Programming for Model-free Tracking of Trajectories with Time-varying Parameters
Köpf, F.; Ramsteiner, S.; Puccetti, L.; Flad, M.; Hohmann, S.
2020. International journal of adaptive control and signal processing, 34 (7), 839–856. doi:10.1002/acs.3106
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains
Köpf, F.; Nitsch, A.; Flad, M.; Hohmann, S.
2020. 2020 6th International Conference on Control, Automation and Robotics (ICCAR) : April 20-23, 2020, Singapore, 746–752, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR49639.2020.9108080
Speed Tracking Control using Online Reinforcement Learning in a Real Car
Puccetti, L.; Köpf, F.; Rathgeber, C.; Hohmann, S.
2020. 2020, The 6th International Conference on Control, Automation and Robotics, Singapore, April 20 - 23, 2020, ICCAR 2020, 978–1, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR49639.2020.9108051
The ARCHES Moon-Analogue Demonstration Mission: Towards Teams of Autonomous Robots for Collaborative Scientific Sampling in Lunar Environments
Schuster, M. J.; Rebele, B.; Müller, M. G.; Brunner, S. G.; Dömel, A.; Vodermayer, B.; Giubilato, R.; Vayugundla, M.; Lehner, H.; Lehner, P.; Steidle, F.; Meyer, L.; Bussmann, K.; Reill, J.; Stürzl, W.; Bargen, I. von; Sakagami, R.; Smisek, M.; Durner, M.; Staudinger, E.; Pöhlmann, R.; Zhang, S.; Braun, C.; Dietz, E.; Frohmann, S.; Schröder, S.; Börner, A.; Hübers, H.-W.; Triebel, R.; Foing, B.; Albu-Schäffer, A. O.; Wedler, A.
2020. European Lunar Symposium (ELS)
Magnetic Resonance Fingerprinting Optimization In Magnetic Resonance Imaging
Braun, C. A.; Nadar, M. S.; Chen, X.; Mailhe, B.
2020
Bewegungsabhängiges Stabilisierungsunterstützungssystem [Patent]
Kuhn, E.; Kusmartsev, F.; Flad, M.; Hohmann, S.; Köpf, F.
2020
Optimal Control and Inverse Optimal Control with Continuous Updating for Human Behavior Modeling
Petrosian, O.; Inga, J.; Kuchkarov, I.; Flad, M.; Hohmann, S.
2020. IFAC-PapersOnLine, 53 (2), 6670–6677. doi:10.1016/j.ifacol.2020.12.089
Adaptive Negotiation Model for Human-Machine Interaction on Decision Level
Rothfuß, S.; Ayllon, C.; Flad, M.; Hohmann, S.
2020. IFAC-PapersOnLine, 53 (2), 10174–10181. doi:10.1016/j.ifacol.2020.12.2745
A Cooperative Assistant System with Smoothly Shifting Control Authority Based on Partially Observable Markov Decision Processes
Braun, C. A.; Bohn, C.; Inga, J.; Hohmann, S.
2020. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, October 11–14, 2020., 806–811, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC42975.2020.9283176
Multi-Robot Task Allocation and Scheduling Considering Cooperative Tasks and Precedence Constraints
Bischoff, E.; Meyer, F.; Inga, J.; Hohmann, S.
2020. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, October 11–14, 2020., 3949–3956, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC42975.2020.9283215
Cooperative Decision Making in Cooperative Control Systems by Means of Game Theory
Rothfuß, S.; Steinkamp, J.; Flad, M.; Hohmann, S.
2020. Frontiers of Dynamic Games : Game Theory and Management, St. Petersburg, 2019. Ed.: L.A. Petrosyan, 245–265, Birkhäuser Verlag. doi:10.1007/978-3-030-51941-4_15
The ARCHES Space-Analogue Demonstration Mission: Towards Heterogeneous Teams of Autonomous Robots for Collaborative Scientific Sampling in Planetary Exploration
Schuster, M. J.; Muller, M. G.; Brunner, S. G.; Lehner, H.; Lehner, P.; Sakagami, R.; Domel, A.; Meyer, L.; Vodermayer, B.; Giubilato, R.; Vayugundla, M.; Reill, J.; Steidle, F.; Von Bargen, I.; Bussmann, K.; Belder, R.; Lutz, P.; Sturzl, W.; Smisek, M.; Moritz, M.; Stoneman, S.; Prince, A. F.; Rebele, B.; Durner, M.; Staudinger, E.; Zhang, S.; Pohlmann, R.; Bischoff, E.; Braun, C.; Schroder, S.; Dietz, E.; Frohmann, S.; Borner, A.; Hubers, H.-W.; Foing, B.; Triebel, R.; Albu-Schaffer, A. O.; Wedler, A.
2020. IEEE Robotics and automation letters, 5 (4), 5315–5322. doi:10.1109/LRA.2020.3007468
Reinforcement Learning for Speed Control with Feedforward to Track Velocity Profiles in a Real Vehicle
Köpf, F.; Puccetti, L.; Rathgeber, C.; Hohmann, S.
2020. 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), September 20 – 23, 2020, Art.Nr. 9294541, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITSC45102.2020.9294541
Deep Decentralized Reinforcement Learning for Cooperative Control
Köpf, F.; Tesfazgi, S.; Flad, M.; Hohmann, S.
2020. 21th IFAC World Congress. Ed.: R. Findeisen, 1555–1562, Elsevier. doi:10.1016/j.ifacol.2020.12.2181
Inverse Open-Loop Noncooperative Differential Games and Inverse Optimal Control
Molloy, T. L.; Inga, J.; Flad, M.; Ford, J.; Perez, T.; Hohmann, S.
2020. IEEE transactions on automatic control, 65 (2), 897–904. doi:10.1109/TAC.2019.2921835

2019

A Concept for Human-Machine Negotiation in Advanced Driving Assistance Systems
Rothfuss, S.; Schmidt, R.; Flad, M.; Hohmann, S.
2019. IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, 06.10.-09.10.2019, 3116–3123, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2019.8914282
Cooperative Decision Making in Cooperative Control Systems by means of Game Theory
Rothfuß, S.; Steinkamp, J.; Flad, M.; Hohmann, S.
2019, July 4. 13th International Conference Game Theory and Management (GTM 2019), St Petersburg, Russia, July 3–5, 2019
A Continuous and Quantitative Metric for the Levels of Automation
Braun, C. A.; Flad, M.; Hohmann, S.
2019. IFAC-PapersOnLine, 52 (19), 37–42. doi:10.1016/j.ifacol.2019.12.081
Roboterteams im Arbeitseinsatz auf dem Mars und in der Tiefsee - Das ARCHES Forschungsprojekt am Karlsruher Institut für Technologie - Campusreport am 05.03.2019
Fuchs, S.; Flad, M.
2019. doi:10.5445/DIVA/2019-155
Personalisierte, adaptive kooperative Systeme für automatisierte Fahrzeuge: Schlussbericht des Karlsruher Instituts für Technologie (KIT) für das BMBF-Forschungsvorhaben PAKoS
Flad, M.; Ludwig, J.; Roitberg, A.; Karg, P.; Stiefelhagen, R.; Hohmann, S.
2019. Technische Informationsbibliothek (TIB)
Robust Design of a Complex, Perturbed Lateral Control System for Automated Driving
Korus, J.-D.; Karg, P.; Ramos, P. G.; Schütz, C.; Zimmermann, M.; Müller, S.
2019. IFAC-PapersOnLine, 52 (8), 1–6. doi:10.1016/j.ifacol.2019.08.026
Differential-Game-Based Driver Assistance System for Fuel-Optimal Driving
Flad, M.
2019. Frontiers of Dynamic Games – Game Theory and Management, St. Petersburg, 2018. Ed.: L. Petrosyan, 13–36, Birkhäuser Verlag. doi:10.1007/978-3-030-23699-1_2
Decentralized Path Planning for Cooperating Autonomous Vehicles
Rothfuß, S.; Prezdnyakov, R.; Flad, M.; Hohmann, S.
2019. AUTOREG, Mannheim, 2-3 Juli, 2019, 271–284, VDI Verlag
Decentralized path planning for cooperating autonomous mobile units
Rothfuß, S.; Prezdnyakov, R.; Flad, M.; Hohmann, S.
2019. Forschung im Ingenieurwesen, 1–11. doi:10.1007/s10010-019-00339-4
Validation of a Human Cooperative Steering Behavior Model Based on Differential Games
Inga, J.; Flad, M.; Hohmann, S.
2019. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), Bari, I, October 6-9, 2019, 3124–3129, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2019.8914574
Solution Sets for Inverse Non-Cooperative Linear-Quadratic Differential Games
Inga, J.; Bischoff, E.; Molloy, T. L.; Flad, M.; Hohmann, S.
2019. IEEE Control Systems Letters, 3 (4), 871 – 876. doi:10.1109/LCSYS.2019.2919271
Model-Based Control of a Large-Scale Ball-on-Plate System With Experimental Validation
Kastner, A.; Inga, J.; Blauth, T.; Köpf, F.; Flad, M.; Hohmann, S.
2019. IEEE International Conference on Mechatronics (ICM ), 257–262, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICMECH.2019.8722850
Kooperative Optimalregelung unter eingeschränkter Kommunikation und Information
Köpf, F.; Flad, M.; Hohmann, S.
2019. GMA-Fachausschuss 1.50 Workshop "Grundlagen vernetzter Systeme" (2019), Günzburg, Germany, March 11–13, 2019

2018

A Comparison of Concepts for Control Transitions from Automation to Human
Ludwig, J.; Haas, A.; Flad, M.; Hohmann, S.
2018, October. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, October 7–10, 2018
A Comparison of Concepts for Control Transitions from Automation to Human
Ludwig, J.; Haas, A.; Flad, M.; Hohmann, S.
2018. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3201–3206, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2018.00542
Evaluating Human Behavior in Manual and Shared Control via Inverse Optimization
Inga, J.; Eitel, M.; Flad, M.; Hohmann, S.
2018. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2699–2704, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2018.00461
Modeling of Human-Centered Cooperative Control by Means of Tracking in Discrete Time Linear Quadratic Differential Games
Lemmer, M.; Köpf, F.; Schwab, S.; Flad, M.; Hohmann, S.
2018. 1st IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2018; Laguna Hills; United States; 26 September 2018 through 28 September 2018, 156–161, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AIKE.2018.00034
Driver Observation and Shared Vehicle Control : Supporting the Driver on the Way Back into the Control Loop = Fahrerbeobachtung und kooperative Fahrzeugführung : Wie der Fahrer auf dem Weg zurück in die Regelschleife unterstützt werden kann
Ludwig, J.; Martin, M.; Horne, M.; Flad, M.; Voit, M.; Stiefelhagen, R.; Hohmann, S.
2018. at - Automatisierungstechnik, 66 (2), 146–159. doi:10.1515/auto-2017-0103
Identifikation in Differentialspielen basierend auf inverser Optimalsteuerung
Inga, J.; Hohmann, S.
2018, February 22. 52. Regelungstechnisches Kolloquium (2018), Boppard, Germany, February 21–23, 2018
Load Forecasting in Distribution Grids with High Renewable Energy Penetration for Predictive Energy Management Systems
Sauter, P. S.; Karg, P.; Kluwe, M.; Hohmann, S.
2018. 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018; Sarajevo; Bosnia and Herzegovina; 21 October 2018 through 25 October 2018, Art. Nr.: 8571524, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope.2018.8571524
A Steering Experiment Towards Haptic Cooperative Maneuver Negotiation
Rothfuß, S.; Grauer, F.; Flad, M.; Hohmann, S.
2018. Proceedings 2018 IEEE International Conference on Systems, Man and Cybernetics SMC 2018, 7-10 October 2018, Miyazaki, Japan, 3207–3212, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2018.00543
Adaptive Dynamic Programming for Cooperative Control with Incomplete Information
Köpf, F.; Ebbert, S.; Flad, M.; Hohmann, S.
2018. IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2018), Miyazaki, J, October 7-10, 2018, Institute of Electrical and Electronics Engineers (IEEE)

2017

Individual Human Behavior Identification Using an Inverse Reinforcement Learning Method
Inga, J.; Köpf, F.; Flad, M.; Hohmann, S.
2017. IEEE International Conference on Systems, Man and Cybernetics (SMC), Banff, AB, Canada, 5–8 October 2017, 99–104, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2017.8122585
Cooperative longitudinal driver assistance system based on shared control
Mosbach, S.; Flad, M.; Hohmann, S.
2017. Proceedings of the 2017 IEEE International Conference on Systems, Man and Cybernetics, SMC 2017, Banff, Canada, 5th - 8th October 2017, 1776–1781, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2017.8122873
Neural Network-based Load Forecasting in Distribution Grids for Predictive Energy Management Systems
Sauter, P.; Karg, P.; Pfeifer, M.; Kluwe, M.; Zimmerlin, M.; Leibfried, T.; Hohmann, S.
2017. Die Energiewende : Blueprints for the New Energy Age, Proceedings of the International ETG Congress 2017, World Conference Center, Bonn, 28th - 29th November 2017, 13–18, VDE Verlag
Cooperative Shared Control Driver Assistance Systems Based on Motion Primitives and Differential Games
Flad, M.; Fröhlich, L.; Hohmann, S.
2017. IEEE transactions on human-machine systems, 47 (5), 711–722. doi:10.1109/THMS.2017.2700435
Cooperative Dynamic Vehicle Control Allocation using Time-Variant Differential Games
Ludwig, J.; Gote, C.; Flad, M.; Hohmann, S.
2017. IEEE International Conference on Systems, Man and Cybernetics, SMC, Banff, Alberta, Canada, 5th - 8th October 2017, 117–122, Institute of Electrical and Electronics Engineers (IEEE)
Inverse Reinforcement Learning for Identification in Linear-Quadratic Dynamic Games
Köpf, F.; Inga, J.; Rothfuß, S.; Flad, M.; Hohmann, S.
2017. IFAC-PapersOnLine, 50 (1), 14902–14908. doi:10.1016/j.ifacol.2017.08.2537
Inverse Optimal Control for Identification in Non-Cooperative Differential Games
Rothfuß, S.; Inga, J.; Köpf, F.; Flad, M.; Hohmann, S.
2017. IFAC-PapersOnLine, 50 (1), 14909–14915. doi:10.1016/j.ifacol.2017.08.2538
Inverse Optimierung in linear-quadratischen dynamischen Spielen
Inga, J.; Rothfuß, S.; Köpf, F.; Hohmann, S.
2017. GMA-Fachausschuss 1.50 Workshop "Grundlagen vernetzter Systeme", Günzburg, 29.-31. Mai 2017
Comparison of the Holomorphic Embedding Load Flow Method with Established Power Flow Algorithms and a New Hybrid Approach
Sauter, P. S.; Braun, C. A.; Kluwe, M.; Hohmann, S.
2017. 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech), Denver, CO, USA, 29-31 March 2017, 203–210, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/GreenTech.2017.36
Bridging the Gap between Open Loop Tests and Statistical Validation for Highly Automated Driving
Koenig, A.; Gutbrod, M.; Hohmann, S.; Ludwig, J.
2017. SAE International journal of transportation safety, 5 (1). doi:10.4271/2017-01-1403
Kooperative Regelungskonzepte auf Basis der Spieltheorie und deren Anwendung auf Fahrerassistenzsysteme. PhD dissertation
Flad, M.
2017. KIT Scientific Publishing. doi:10.5445/KSP/1000063300
Identifikation des menschlichen Bewegungsverhaltens auf der Basis von Primitiven. PhD dissertation
Diehm, G.
2017. KIT Scientific Publishing. doi:10.5445/KSP/1000062214

2016

Modellierung und Identifikation mithilfe eines erweiterten schaltenden autoregressiven Systems
Inga, J.; Hohmann, S.
2016. GMA-Fachausschuss 1.30 Workshop, Anif/Salzburg,19.-21. September 2016
UberManufacturing: A goal-driven collaborative industrial manufacturing marketplace
Mayer, S.; Plangger, D.; Michahelles, F.; Rothfuss, S.
2016. 6th International Conference on the Internet of Things, IOT 2016; Stuttgart; Germany; 7 November 2016 through 9 November 2016, 111–119, Association for Computing Machinery (ACM). doi:10.1145/2991561.2991569
Kooperative Regelungskonzepte auf Basis der Spieltheorie und deren Anwendung auf Fahrerassistenzsysteme. PhD dissertation
Flad, M.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000062759

2015

Iteratives Vorgehen in räumlich getrennten mechatronischen Entwicklungsteams – Das Wechselspiel von Synthese und testbasierter Analyse
Matthiesen, S.; Schmidt, S.; Ludwig, J.; Hohmann, S.
2015. Fachtagung Mechatronik 2015 : Dortmund, 12.03.-13.03.2015). Herausgeber: T. Bertram, 137–142, Technische Universität
Gray-Box Driver Modeling and Prediction: Benefits of Steering Primitives
Inga, J.; Flad, M.; Diehm, G.; Hohmann, S.
2015. 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kowloon Tong, Hong Kong, 9–12 October 2015, 3054–3059, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2015.531

2014

Integration of an Active Brake Pedal Simulator in the CarMaker Environment for Design and Evaluation of Haptic Driver Assistance Systems
Rothfuss, S.; Flad, M.; Diehm, G.
2014. IPG Automotive applay and innovate
Active Brake Pedal Feedback Simulator Based on Electric Drive
Flad, M.; Rothfuss, S.; Diehm, G.; Hohmann, S.
2014. SAE 2014 World Congress & Exhibition, Detroit, Michigan, USA, April 8 - 10, 2014
Active Brake Pedal Feedback Simulator Based on Electric Drive
Flad, M.; Rothfuss, S.; Diehm, G.; Hohmann, S.
2014. SAE International journal of passenger cars, 7 (1), 189–200. doi:10.4271/2014-01-0325
Optimal interaction structure of human drivers cooperation: A pilot study
Ludwig, J.; Diehm, G.; Flad, M.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3593–3598, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2014.6974487
Subliminal optimal longitudinal vehicle control for energy efficient driving
Sauter, P.; Flad, M.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3001–3007, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2014.6974387
Steering driver assistance system: A systematic cooperative shared control design approach
Flad, M.; Otten, J.; Schwab, S.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3585–3592, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2014.6974486
Necessary and sufficient conditions for the design of cooperative shared control
Flad, M.; Otten, J.; Schwab, S.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 1253–1259, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2014.6974086
Driver characterization & driver specific trajectory planning: an inverse optimal control approach
Gote, C.; Flad, M.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3014–3021, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2014.6974389
Robust Torque Vectoring Control
Kaspar, S.; Ludwig, J.; Bünte, T.; Hohmann, S.
2014. Proceedings of the 19th IFAC World Congress 2014, Cape Town, South Africa, August 24 - 29, 2014; Vol. 12. Ed.: E. Boje, 12023–12028, Curran. doi:10.3182/20140824-6-ZA-1003.02359
Individual Driver Modeling via Optimal Selection of Steering Primitives
Flad, M.; Trautmann, C.; Diehm, G.; Hohmann, S.
2014. Proceedings of the 19th IFAC World Congress 2014, Cape Town, South Africa, August 24 - 29, 2014; Vol. 1. Ed.: E. Boje, 696–702, Curran. doi:10.3182/20140824-6-ZA-1003.00223
Integration of an Active Brake Pedal Simulator in the CarMaker Environment for Design and Evaluation of Haptic Driver Assistance Systems
Rothfuß, S.; Flad, M.; Hohmann, S.
2014. apply & innovate 2014 - IPG Technologiekonferenz, Karlsruhe, 23. - 24. September 2014

2013

Online identification of individual driver steering behaviour and experimental results
Diehm, G.; Maier, S.; Flad, M.; Hohmann, S.
2013. Proceedings - 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013) : Manchester, United Kingdom, 13 - 16 October 2013, 221–227, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2013.44
An Identification Method for Individual Driver Steering Behaviour Modelled by Switched Affine Systems
Diehm, G.; Maier, S.; Flad; .; Hohmann, S.
2013. 52nd IEEE Annual Conference on Decision and Control, Florence, Italy, Dec. 10 ‐13, 2013, 3547–3553, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2013.6760428
Experimental validation of a driver steering model based on switching of driver specific primitives
Flad, M.; Trautmann, C.; Diehm, G.; Hohmann, S.
2013. Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, United Kingdom, 13 - 16 October 2013, 214–220, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC.2013.43
Identifkation schaltender Systeme auf der Basis von Ausgangstrajektorien
Diehm, G.; Hohmann, S.
2013. GMA FA 1.30 Workshop 2013, Anif/Salzburg, Österreich. GMA Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“