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Contributions WP3.1

  • X. Dai, H. Wu, S. Wang, J. Jiao, G. T. Nguyen, F. H. P. Fitzek, S. Hirche, “Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing,” IFAC-PapersOnLine, 56(2), 8875–8882. https://doi.org/10.1016/j.ifacol.2023.10.087.

 

  • X. Dai, A. Lederer, Z. Yang, S. Hirche, “Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning”. in Proceedings of The 5th Annual Learning for Dynamics and Control Conference, N. Matni, M. Morari, and G. J. Pappas, Eds., in Proceedings of Machine Learning Research, vol. 211. PMLR, Feb. 2023, pp. 445–457. Available: https://proceedings.mlr.press/v211/dai23a.html.

 

  • K. Zheng, P. Huang, G. Fettweis, “Optimal Control of Quadrotor Attitude System Using Data-driven Approximation of Koopman Operator,” in Proc. IFAC World Congress 2023

 

  • René Schöne, Johannes Mey, Sebastian Ebert, Sebastian Götz, and Uwe Aßmann. “Incremental causal connection for self-adaptive systems based on relational reference attribute grammars.” In Proceedings ACM MODELS. 2022.

 

  • J. Mey, S. Ebert, T. Lin, G. T. Nguyen, S. Gumhold and U. Aßmann, “Teaching Distributed and Heterogeneous Robotic Cells,” IEEE CCNC, 2022, doi: 10.1109/CCNC49033.2022.9700686.

 

  • S. Ebert, J. Mey, R. Schöne, S. Götz and U. Aßmann, “DiNeROS: A Model-Driven Framework for Verifiable ROS Applications with Petri Nets,” 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Västerås, Sweden, 2023, pp. 791-800, doi: 10.1109/MODELS-C59198.2023.00127.

 

  • Huang, Shirong, et al. “Machine learning‐enabled smart gas sensing platform for identification of industrial gases.” Advanced Intelligent Systems 4.4 (2022): 2200016.

 

  • Daniel Perez-Suay, Yu Li, Hamid Sadeghian, Abdeldjallil Naceri and Sami Haddadin, “Torque Transmission in Double-Tendon Sheath Driven  Actuators for Application in Exoskeetons”, IEEE International Conference on Robotics and Automation, 2024.

 

  • Lingyun Chen, Abdeldjallil Naceri, Abdalla Swikir, Sandra Hirche, and Sami Haddadin, “Autonomous and Teleoperation Control of a Drawing Robot Avatar”, IEEE International Conference on Robotics and Automation, 2024.

 

  • Jon Škerlj, Mazin Hamad, Jean Elsner, Abdeldjallil Naceri, and Sami Haddadin,” Safe-By-Design Digital Twins for Human-Robot Interaction: A Use Case for Humanoid Service Robots”, IEEE International Conference on Robotics and Automation, 2024.

 

  • H. Kavianirad, M. Forouhar, H. Sadeghian, S. Endo, S. Haddadin, & S. Hirche, Model-Based Shared Control of a Hybrid FES-Exoskeleton: An Application in Participant-Specific Robotic Rehabilitation. in 2023 International Conference on Rehabilitation Robotics (ICORR), IEEE, Sep. 2023, pp. 1–6. doi: 10.1109/ICORR58425.2023.10304764. 

 

  • Frotzscher, A., Chen, X., Tran, D. L., Goll, T., Sadeghian, H., Wu, F., … & Haddadin, S. Self-Organization and Collaboration in Robotic Manufacturing Systems. In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE. 

 

  • Toedtheide, A., Chen, X., Sadeghian, H., Naceri, A., & Haddadin, S. (2023, May). A force-sensitive exoskeleton for teleoperation: An application in elderly care robotics. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 12624-12630). IEEE. 

 

  • Chen, X., Sadeghian, H., Li, Y., & Haddadin, S. (2023). Tele-rehabilitation of Upper Extremity with GARMI Robot: Concept and Preliminary Results. IFAC-PapersOnLine, 56(2), 3546-3551.

 

  • Karacan, Kübra, Hamid Sadeghian, Robin Kirschner, and Sami Haddadin. “Passivity-Based Skill Motion Learning in Stiffness-Adaptive Unified Force-Impedance Control“, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9604-9611. IEEE, 2022.

 

  • Kübra Karacan, Divij Grover, Hamid Sadeghian, Fan Wu, and Sami Haddadin, “ Tactile Exploration Using Unified Force-Impedance Control”, International Federation of Automatic Control (IFAC) World Congress 2023.

 

  • Chen, Xiao, Lars Johannsmeier, Hamid Sadeghian, Erfan Shahriari, Martin Danneberg, Anselm Nicklas, Fan Wu, Gerhard Fettweis, and Sami Haddadin. “On the Communication Channel in Bilateral Teleoperation: An Experimental Study for Ethernet, WiFi, LTE and 5G”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7712-7719. IEEE, 2022.

 

  • Xiao Chen, Hamid Sadeghian, Lingyun Chen, Mario Treobinger, Abadalla Swirkir, Abdeldjallil Naceri and Sami Hadaddin, “A Passivity-based Approach on Relocating High-Frequency Robot Controller in the Edge Cloud”, IEEE International Conference on Robotics and Automation (ICRA), 2023.

 

  • Mario Treobinger, Abdeldjallil Naceri, Xiao Chen, Hamid Sadeghian, and Sami Haddadin, “Identification of a Generalized Base Inertial Parameter Set of Robotic Manipulators Considering Mounting Configurations”, IEEE International Conference on Robotics and Automation (ICRA), 2023.

 

  • Alexander Toedtheide, Xiao Chen, Hamid Sadeghian, Abdeldjallil Naceri and Sami Haddadin, “A Force-Sensitive Exoskeleton for Teleoperation: An Application in Elderly Care Robotics”,  IEEE International Conference on Robotics and Automation (ICRA), 2023.

 

  • Xiao Chen, Hamid Sadeghian, Yanan Li, Sami Haddadin,”Tele-rehabilitation of Upper Extremity with GARMI Robot: Concept and Preliminary Results”, IFAC World Congress 2023. 

 

  • Schade, Nguyen, Gencoglu, Nguyen, Fitzek, ”Intuitive Robot Control with Data Gloves for Industrial Use Cases”, IEEE Consumer Communications and Networking Conference (CCNC), 2023. 

 

  • J. Schulz, H. Radak, P. T. Nguyen, G. T. Nguyen and F. H. P. Fitzek, ”On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks”, in Proc. 48th IEEE Conference on Local Computer Networks (LCN), 2023, DOI: 10.1109/LCN58197.2023.10223374.

 

  • Sossalla, Rischke, Baier, Itting, Nguyen, Fitzek, ”Private 5G Solutions for Mobile Industrial Robots: A Feasibility Study”, 2022 IEEE Symposium on Computers and Communications (ISCC), 2022. 

 

  • Y. Yang, M.Ma, T. V. Doan, T. Hulin, F.Fitzek, G.Nguyen “Touch the Metaverse: Demonstration of Haptic Feedback in Network-Assisted Augmented Reality” in 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom),2024.

 

  • Z. Yang, X. Dai, A. Dubey, S. Hirche, and G. Hattab, “Whom to Trust? Elective Learning for Distributed Gaussian Process Regression,” Feb. 2024. [Online]. Available: http://arxiv.org/abs/2402.03014. 

 

  • D. Liu, S. Baldi, and S. Hirche, “Collision Avoidance in Longitudinal Platooning: Graceful Degradation and Adaptive Designs,” IEEE Control Syst Lett, vol. 7, pp. 1694–1699, 2023, doi: 10.1109/LCSYS.2023.3278249.

 

  • A. Capone, J. Jiao, M. Zarei, S. Zhang, and S. Hirche, “Robust H ∞ Consensus for Homogeneous Multi-agent Systems with Parametric Uncertainties,” in 2023 American Control Conference (ACC), IEEE, May 2023, pp. 4191–4196. doi: 10.23919/ACC55779.2023.10156152.

 

  • Y. Gao, J. Jiao, and S. Hirche, “H2 suboptimal leader-follower consensus control of multi-agent systems,” IFAC-PapersOnLine, vol. 56, no. 2, pp. 2614–2619, 2023, doi: 10.1016/j.ifacol.2023.10.1348.

 

  • Y. Gao, J. Jiao, and S. Hirche, “H 2 suboptimal containment control of multi-agent systems,” in 2023 American Control Conference (ACC), IEEE, May 2023, pp. 1359–1364. doi: 10.23919/ACC55779.2023.10156193.
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