About the authors
Balint Varga received his B.Sc. in Mechatronics from the Technical University of Budapest, Hungary, in 2016. He earned an M.Sc. in Mechanical Engineering in 2017 and a Dr.-Ing. in Electrical Engineering and Information Technology in 2023, both from the Karlsruhe Institute of Technology (KIT), Germany. From 2017 to 2020, he worked as a research scientist at the FZI Research Center for Information Technology. Since 2020, he has been a research assistant at KIT. In 2023, he became the head of the research group on Cooperative Systems. His research interests include modeling human-machine interaction and designing shared-control concepts for various applications, such as autonomous vehicles, mobile manipulators, and the healthcare domain. He is a member of the IEEE SMC Society and leads the Technical Committee on Shared Control. He serves as an Associate Editor for the IEEE Transactions on Human-Machine Systems and the International Journal of Robotics and Automation.
Frank Flemisch received a Dipl.-Ing. degree in aerospace engineering with a specialization in system dynamics in 1989, and a Dr.-Ing. degree in human factors in 2000, both from the University of Armed Forces, Munich, Germany. After some years as on Tactical Control Officer and Deployment & Training Officer in the German Airforce, since 1995 he has been continuously enjoying research on human-AI cooperation, assistant systems and automation for cars, trucks, airplanes, factories, and defense systems, at the University of Armed Forces, Munich; NASA Langley Research Center, DLR Braunschweig, Fraunhofer FKIE Bonn and RWTH Aachen. He served as the lead of a national standardization group and a technical expert in ISO TC204. Starting from the H-Metaphor with the cooperation of rider and horses, which led to concepts like H-Mode, “on-the-loop”, shared- and cooperative control, he and his teams together with international partners from academia and industry coined the term cooperative automation and highly automated driving, which led to a flagship project HAVEit of the EU, and is now part of several patents, products, ISO- and SAE standards. From 2011 to 2024, he has been leading a Department of Human System Integration at Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE, Wachtberg, Germany. Since 2024, he has been a Principal Scientist and Science Evangelist for Human Systems and Ergonomics at Fraunhofer FKIE. Since 2011, he has been a full Professor of Human Systems Integration at RWTH Aachen University, Aachen, Germany, where he serves as principal researcher of a DFG-cluster of excellence, a principal researcher of a DFG-Focus program, and speaker of a DFG research group on the migration of vehicle automation. He has served as an expert and cluster leader in BASt expert groups on automated and teleoperated driving, represents Germany in NATO-STO Human Factors and Medicine Panel, is nominated for chair of the HFM-panel, and is a certified mindfulness trainer.
Sören Hohmann received the Diploma and Ph.D. degrees in electrical engineering from the University of Karlsruhe, Karlsruhe, Germany, in 1997 and 2002, respectively, after studying electrical engineering jointly at the Technische Universität Braunschweig, Brunswick, Germany, the University of Karlsruhe, and the École Nationale Supérieure d’Électricité et de Mécanique, Nancy, France. Afterwards, until 2010, he worked in the industry for BMW Munich, Germany, in various positions, where his last position was the head of the predevelopment and series development of active safety systems. He is currently the Head of the Institute of Control Systems (IRS), Karlsruhe Institute of Technology (KIT), Karlsruhe, and the Director’s Board Member of the Research Center for Information Technology (FZI), Karlsruhe. His research interests are cooperative control, networked multienergy systems, and system guarantees by design.
References
[1] E. Tunstel, et al.., “Systems science and engineering research in the context of systems, man, and cybernetics: recollection, trends, and future directions,” IEEE Trans. Syst. Man Cybern. Syst., vol. 51, no. 1, pp. 5–21, 2021. https://doi.org/10.1109/tsmc.2020.3043192.Search in Google Scholar
[2] Z. Shi, H. Chen, T. Qu, and S. Yu, “Human–machine cooperative steering control considering mitigating human–machine conflict based on driver trust,” IEEE Trans. Hum. Mach. Syst., vol. 52, no. 5, pp. 1036–1048, 2022. https://doi.org/10.1109/thms.2022.3190683.Search in Google Scholar
[3] M. A. Díaz, et al.., “Human-in-the-loop optimization of wearable robotic devices to improve human–robot interaction: a systematic review,” IEEE Trans. Cybern., vol. 53, no. 12, pp. 7483–7496, 2023. https://doi.org/10.1109/tcyb.2022.3224895.Search in Google Scholar PubMed
[4] K. Takács and T. Haidegger, “Eye gaze tracking in robot-assisted minimally invasive surgery: a systematic review of recent advances and applications,” Acta Polytech. Hung., vol. 21, no. 10, pp. 393–411, 2024. https://doi.org/10.12700/aph.21.10.2024.10.25.Search in Google Scholar
[5] J. Yan, T. Gao, X. Yang, C. Chen, and X. Guan, “Teleoperation control of autonomous underwater vehicle toward human on the loop: needs, analyses, and solutions,” IEEE Syst. Man Cybern. Mag., vol. 10, no. 3, pp. 2–13, 2024. https://doi.org/10.1109/msmc.2023.3275770.Search in Google Scholar
[6] M. Grobbel, B. Varga, and S. Hohmann, “Shared telemanipulation with vr controllers in an anti slosh scenario,” in 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2023, pp. 4405–4410.10.1109/SMC53992.2023.10393900Search in Google Scholar
[7] A. Carfì and F. Mastrogiovanni, “Gesture-based human–machine interaction: taxonomy, problem definition, and analysis,” IEEE Trans. Cybern., vol. 53, no. 1, pp. 497–513, 2023. https://doi.org/10.1109/tcyb.2021.3129119.Search in Google Scholar
[8] F. Flemisch, D. A. Abbink, M. Itoh, M.-P. Pacaux-Lemoine, and G. Weßel, “Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human–machine cooperation, cooperative guidance and control, shared, traded and supervisory control,” Cogn. Technol. Work, vol. 21, no. 4, pp. 555–568, 2019. https://doi.org/10.1007/s10111-019-00576-1.Search in Google Scholar
[9] F. O. Flemisch, et al.., “Conflicts in human-machine systems as an intersection of bio- and technosphere: cooperation and interaction patterns for human and machine interference and conflict resolution,” in 2020 IEEE International Conference on Human-Machine Systems (ICHMS), Rome, Italy, IEEE, 2020, pp. 1–6.10.1109/ICHMS49158.2020.9209517Search in Google Scholar
[10] A. M. Annaswamy, K. H. Johansson, and G. Pappas, “Control for societal-scale challenges: road map 2030,” IEEE Control Syst. Mag., vol. 44, no. 3, pp. 30–32, 2024. https://doi.org/10.1109/mcs.2024.3382376.Search in Google Scholar
[11] B. Varga, “Toward adaptive cooperation: model-based shared control using LQ-differential games,” Acta Polytech. Hung., vol. 21, no. 10, pp. 439–456, 2024. https://doi.org/10.12700/aph.21.10.2024.10.27.Search in Google Scholar
[12] S. Nahavandi, “Trusted autonomy between humans and robots: toward human-on-the-loop in robotics and autonomous systems,” IEEE Syst. Man Cybern. Mag., vol. 3, no. 1, pp. 10–17, 2017. https://doi.org/10.1109/msmc.2016.2623867.Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
