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Data-Based Model of an Omnidirectional Mobile Robot Using Gaussian Processes

H. Eschmann, H. Ebel, and P. Eberhard. 19th IFAC Symposium on System Identification SYSID 2021, 54, 7, page 13-18. Elsevier, (2021)
DOI: 10.1016/j.ifacol.2021.08.327

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Hannes Eschmann University of Stuttgart

Hannes Mandler University of Stuttgart

Hannes Lauer University of Stuttgart

Hannes Wellmann University of Stuttgart

Hannes Grabmann University of Stuttgart

Other publications of authors with the same name

Data-Based Model of an Omnidirectional Mobile Robot Using Gaussian ProcessesH. Eschmann, H. Ebel, and P. Eberhard. 19th IFAC Symposium on System Identification SYSID 2021, 54, 7, page 13-18. Elsevier, (2021)Trajectory tracking of an omnidirectional mobile robot using Gaussian process regressionH. Eschmann, H. Ebel, and P. Eberhard. Automatisierungstechnik, 69 (8): 656-666 (2021)Learning-Based Model Predictive Control for Multi-Agent Systems using Gaussian ProcessesH. Eschmann, and P. Eberhard. Proceedings in applied mathematics and mechanics, 20 (1): e202000009 (2021)Identification of Friction Models for MPC-based Control of a PowerCube Serial RobotJ. Fehr, A. Kargl, and H. Eschmann. 10th European Nonlinear Dynamics Conference (ENOC22), page 1-10. Cornell University, (2022)High Accuracy Data-Based Trajectory Tracking of a Mobile RobotH. Eschmann, H. Ebel, and P. Eberhard. Advances in Service and Industrial Robotics, 31, page 420-427. (2022)A Data Set for Research on Data-based Methods for an Omnidirectional Mobile RobotH. Eschmann. Dataset, (2021)Exploration-Exploitation-Based Trajectory Tracking of Mobile Robots Using Gaussian Processes and Model Predictive ControlH. Eschmann, H. Ebel, and P. Eberhard. (2022)High Accuracy Data-Based Trajectory Tracking of an Omnidirectional Mobile RobotH. Eschmann, H. Ebel, and P. Eberhard. Advances in Service and Industrial Robotics : RAAD 2022, 120, page 420-427. Cham, Springer, (2022)Gaussian Process Regression-augmented Nonlinear Model Predictive Control for Quadrotor Object GraspingW. Luo, H. Eschmann, and P. Eberhard. 2022 International Conference on Unmanned Aircraft Systems (ICUAS), page 11-19. Piscataway, IEEE, (2022)On Koopman-Based Surrogate Models for Non-Holonomic RobotsL. Bold, H. Eschmann, M. Rosenfelder, H. Ebel, and K. Worthmann. (2023)