Institute of Control Systems (IRS)

Cooperative Systems

Cooperative Control 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

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

Jairo Inga Charaja

Head of Research Group

Research Interest:
Identification of Human Behavior in Cooperative Scenarios

   

Balint Varga

Research Associate

Research Interest:
Cooperative control of mobile machinery

Julian Schneider

Wissenschaftlicher Mitarbeiter

Forschungsgebiet:
 

Florian Köpf

Research Associate

Research Interest:
Design of Cooperative Control Considering Uncertainties

Simon Rothfuß

Research Associate

Research Interest:
Modeling of Cooperative Goal Negotiation

Esther Bischoff

Research Associate

Research Interest:

Christian Braun

Research Associate

Research Interest:
Shared control of heterogenous robot swarms

Philipp Karg

Research Associate

Research Interest:
Modeling and Identification in Cooperative Human-Machine Scenarios

Xin Ye

Research Associate

Research Interest:

Student Assistants

Omar Abdulbaki

Entwicklung eines Simulators für autonome Fahrzeuge

Michael Meyling

Entwicklung eines Human-Machine-Interfaces für Multi-Roboter-Systeme

Recent job offers for student assistants can be found here.

Bachelor and Master Students

Leonie Damaske

Master Thesis

Entwicklung eines Planungsalgorithmus zur Berücksichtigung komplexer Aufgaben in Multi-Roboter-Systemen

Matthias Ammann

Master Thesis

Entwicklung und Analyse von Verfahren zur Adaption des Automatisierungsgrades von Belief-Space Methoden

Lars Erik Fischer

Bachelor Thesis

Aufbau und Untersuchung eines haptischen Force-Feedback-Interfaces mit Exoskeletten und einem Roboterarm

Maximilian Wörner

Master Thesis

Implementierung kooperativer Fahrerassistenz auf Basis der Spieltheorie

Simon Stoll

Master Thesis

Modellierung menschlicher Bewegungen mittels sensormotorischer Optimalregelung

Viola Findiku

Bachelor Thesis

Automatisierte Parametrierung einer modellprädiktive Regelung für mobile Arbeitsmaschinen

Max Günter Grobbel

Master Thesis

Path Integral Inverse Reinforcement Learning

Toshiaki Sebastian Tanaka

Master Thesis

Kooperative Methoden für das Autonome Fahren

Saskia Kohn

Master Thesis

Kooperative Koordination heterogener Roboterteams

Ömer Ekin

Master Thesis

Identifikationsverfahren für nichtlineare, kooperative Systeme basierend auf Prinzipien des Reinforcement Learning

Pablo Ramos López

Master Thesis

Automatisiertes Lernen von Zielpräferenzen für die Mensch-Roboter-Interaktion

Elias Huber

Bachelor Thesis

Entwicklung und Umsetzung eines Anwendungsszenarios mit kooperierenden mobilen Roboterplattformen

Martin Hartmann

Bachelor Thesis

Aufbau und Analyse Virtueller Haptischer Human-Machine-Interfaces mit Exoskeletten und einem Roboterarm

Rinat Prezdnyakov

Master Thesis

Echtzeitfähige kooperative Regelung mit Intentionserkennung für die Mensch-Roboter-Interaktion

Cheng Guo

Master Thesis

Untersuchung der Mensch-Maschine-Kooperation zur Koordination heterogener Roboterteams

Da Huang

Master Thesis

Identifikation kooperativer Regelungssysteme auf Basis der Theorie dynamischer Potentialspiele

Xavier Bustamante Zurita

Bachelor Thesis

Entwicklung eines Algorithmus für die kooperative Bahnplanung zwischen Mensch und Roboter

   
Open Theses Cooperative Systems
Title Type Supervisor
Master Thesis
Master Thesis
Master Thesis
Bachelor Thesis
Master Thesis
Bachelor Thesis
Master Thesis
Bachelor Thesis
Master Thesis
Master Thesis
Bachelor Thesis
Master Thesis
Bachelor Thesis

Publications


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
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
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
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
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
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
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
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
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
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
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. doi:10.1007/978-3-030-51941-4_15
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
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)
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
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
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
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
Deep Decentralized Reinforcement Learning for Cooperative Control.
Köpf, F.; Tesfazgi, S.; Flad, M.; Hohmann, S.
2020. IFAC-PapersOnLine
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
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
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
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
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
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
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
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
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
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 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 (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
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)
Identifikation in Differentialspielen basierend auf inverser Optimalsteuerung.
Inga, J.; Hohmann, S.
2018, February 22. 52. Regelungstechnisches Kolloquium (2018), Boppard, Germany, February 21–23, 2018
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
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 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
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
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
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
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
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
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
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“