Marion Leibold

71 papers A* 2A 1B 1C 2Journal 49Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sampling-Based Stochastic Data-Driven Predictive Control Under Data Uncertainty. IEEE Trans. Autom. Control. Johannes Teutsch, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2026	J	`jnl`	Stochastic data-driven predictive control of linear systems with sub-Gaussian disturbances using causal predictors. IFAC J. Syst. Control. Johannes Teutsch, Marion Leibold
2025	J	`jnl`	Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. IEEE Trans. Control. Syst. Technol. Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan
2025	—	`conf`	Active Fault Identification and Robust Control for Unknown Bounded Faults Via Volume-Based Costs. SysTol Annalena Daniels, Johannes Teutsch, Fabian Kleindienst, Marion Leibold, Dirk Wollherr
2025	J	`jnl`	Active Fault Identification and Robust Control for Unknown Bounded Faults via Volume-Based Costs. CoRR Annalena Daniels, Johannes Teutsch, Fabian Kleindienst, Marion Leibold, Dirk Wollherr
2025	J	`jnl`	Learning-based model identification for greenhouse climate control. Autom. Michael Fink, Annalena Daniels, Francisco García-Mañas, Francisco Rodríguez, Marion Leibold, Dirk Wollherr
2025	J	`jnl`	Time-Optimal Model Predictive Control for Linear Time-Variant Systems Based on Configuration-Constrained Backward Reachability. IEEE Access Michael Fink, Annalena Daniels, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Adaptive Multi-Model Fault Diagnosis of Dynamic Systems for Motion Tracking. IEEE Access Annalena Daniels, Tommaso Benciolini, Dirk Wollherr, Marion Leibold
2024	—	`conf`	Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach. CDC Johannes Teutsch, Christopher Narr, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach. CoRR Johannes Teutsch, Christopher Narr, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2024	C	`conf`	Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving. ACC Tommaso Benciolini, Yuntian Yan, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving. CoRR Tommaso Benciolini, Yuntian Yan, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation. IEEE Trans. Robotics Yi Ren, Zhehua Zhou, Ziwei Xu, Yang Yang, Guangyao Zhai, Marion Leibold, Fenglei Ni, Zhengyou Zhang, Martin Buss, Yu Zheng
2024	J	`jnl`	Hierarchical Incremental MPC for Redundant Robots: A Robust and Singularity-Free Approach. IEEE Trans. Robotics Yongchao Wang, Yang Liu, Marion Leibold, Martin Buss, Jinoh Lee
2024	J	`jnl`	Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems. CoRR Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems. IEEE Trans. Autom. Control. Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold
2024	—	`conf`	Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants. ITSC Tommaso Benciolini, Michael Fink, Nehir Güzelkaya, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants. CoRR Tommaso Benciolini, Michael Fink, Nehir Güzelkaya, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty. CoRR Johannes Teutsch, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2024	J	`jnl`	Stochastic Model Predictive Control With Minimal Constraint Violation Probability for Time-Variant Chance Constraints. IEEE Control. Syst. Lett. Michael Fink, Dirk Wollherr, Marion Leibold
2023	J	`jnl`	Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. CoRR Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	An Online Adaptation Strategy for Direct Data-driven Control. CoRR Johannes Teutsch, Sebastian Ellmaier, Sebastian Kerz, Dirk Wollherr, Marion Leibold
2023	—	`conf`	Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning. ITSC Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, Martin Buss
2023	J	`jnl`	Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning. CoRR Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, Martin Buss
2023	J	`jnl`	Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles. CoRR Ni Dang, Zengjie Zhang, Jizheng Liu, Marion Leibold, Martin Buss
2023	J	`jnl`	Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
2023	J	`jnl`	Non-Conservative Trajectory Planning for Automated Vehicles by Estimating Intentions of Dynamic Obstacles. IEEE Trans. Intell. Veh. Tommaso Benciolini, Dirk Wollherr, Marion Leibold
2023	J	`jnl`	Offline Uncertainty Sampling in Data-driven Stochastic MPC. CoRR Johannes Teutsch, Sebastian Kerz, Tim Brüdigam, Dirk Wollherr, Marion Leibold
2023	J	`jnl`	Optimal Control for Indoor Vertical Farms Based on Crop Growth. CoRR Annalena Daniels, Michael Fink, Marion Leibold, Dirk Wollherr, Senthold Asseng
2023	J	`jnl`	Stochastic Model Predictive Control With a Safety Guarantee for Automated Driving. IEEE Trans. Intell. Veh. Tim Brüdigam, Michael Olbrich, Dirk Wollherr, Marion Leibold
2022	J	`jnl`	A Fast and Close-to-Optimal Receding Horizon Control for Trajectory Generation in Dynamic Environments. Robotics Khoi Hoang Dinh, Marion Leibold, Dirk Wollherr
2022	—	`conf`	Constraint Violation Probability Minimization for Norm-Constrained Linear Model Predictive Control. ECC Michael Fink, Tim Brüdigam, Dirk Wollherr, Marion Leibold
2022	J	`jnl`	Incremental Model Predictive Control Exploiting Time-Delay Estimation for a Robot Manipulator. IEEE Trans. Control. Syst. Technol. Yongchao Wang, Marion Leibold, Jinoh Lee, Wenyan Ye, Jing Xie, Martin Buss
2022	—	`conf`	Safe Stochastic Model Predictive Control. CDC Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold
2022	J	`jnl`	Safe Stochastic Model Predictive Control. CoRR Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold, Francesco Borrelli
2021	—	`conf`	Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. ITSC Tim Brüdigam, Jie Zhan, Dirk Wollherr, Marion Leibold
2021	J	`jnl`	Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. CoRR Tim Brüdigam, Jie Zhan, Dirk Wollherr, Marion Leibold
2021	J	`jnl`	Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning. CoRR Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss
2021	J	`jnl`	Data-driven stochastic model predictive control. CoRR Sebastian Kerz, Johannes Teutsch, Tim Brüdigam, Dirk Wollherr, Marion Leibold
2021	J	`jnl`	Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. CoRR Tim Brüdigam, Alexandre Capone, Sandra Hirche, Dirk Wollherr, Marion Leibold
2021	C	`conf`	Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. ACC Tim Brüdigam, Daniel Prader, Dirk Wollherr, Marion Leibold
2021	J	`jnl`	Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. CoRR Tim Brüdigam, Daniel Prader, Dirk Wollherr, Marion Leibold
2021	—	`conf`	Multistage Stochastic Model Predictive Control for Urban Automated Driving. ITSC Tommaso Benciolini, Tim Brüdigam, Marion Leibold
2021	J	`jnl`	Multistage Stochastic Model Predictive Control for Urban Automated Driving. CoRR Tommaso Benciolini, Tim Brüdigam, Marion Leibold
2021	J	`jnl`	Probabilistic model predictive control for extended prediction horizons. Autom. Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold, Martin Buss
2020	J	`jnl`	A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation. IEEE Trans. Robotics Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
2020	J	`jnl`	Addressing Control Implementation Issues in Robotic Systems Using Adaptive Control. Robotica Rameez Hayat, Marion Leibold, Martin Buss
2020	J	`jnl`	Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. CoRR Tim Brüdigam, Johannes Teutsch, Dirk Wollherr, Marion Leibold
2020	—	`conf`	Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. ITSC Tim Brüdigam, Fulvio di Luzio, Lucia Pallottino, Dirk Wollherr, Marion Leibold
2020	J	`jnl`	Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. CoRR Tim Brüdigam, Fulvio di Luzio, Lucia Pallottino, Dirk Wollherr, Marion Leibold
2020	J	`jnl`	Integral Sliding-Mode Observer-Based Disturbance Estimation for Euler-Lagrangian Systems. IEEE Trans. Control. Syst. Technol. Zengjie Zhang, Marion Leibold, Dirk Wollherr
2020	J	`jnl`	Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. CoRR Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
2020	J	`jnl`	Minimization of Constraint Violation Probability in Model Predictive Control. CoRR Tim Brüdigam, Victor Gaßmann, Dirk Wollherr, Marion Leibold
2020	J	`jnl`	Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving. CoRR Tim Brüdigam, Michael Olbrich, Dirk Wollherr, Marion Leibold
2018	—	`conf`	Combining Stochastic and Scenario Model Predictive Control to Handle Target Vehicle Uncertainty in an Autonomous Driving Highway Scenario. ITSC Tim Brüdigam, Michael Olbrich, Marion Leibold, Dirk Wollherr
2018	J	`jnl`	Robust-Adaptive Controller Design for Robot Manipulators Using the ℋ IEEE Access Rameez Hayat, Marion Leibold, Martin Buss
2018	J	`jnl`	Transitioning Between Underactuated Periodic Orbits: An Optimal Control Approach for Settling Time Reduction. Int. J. Humanoid Robotics Sotiris Apostolopoulos, Marion Leibold, Martin Buss
2017	B	`conf`	Driving strategy selection for cooperative vehicles using maneuver templates. Intelligent Vehicles Symposium Stefanie Manzinger, Marion Leibold, Matthias Althoff
2017	J	`jnl`	Energy Efficient and Robust Balancing with Motion Primitive Switching. Int. J. Humanoid Robotics Sotiris Apostolopoulos, Marion Leibold, Martin Buss
2017	—	`conf`	Fast and close to optimal trajectory generation for articulated robots in reaching motions. AIM Khoi Hoang Dinh, Philipp Weiler, Marion Leibold, Dirk Wollherr
2017	—	`conf`	Modeling and nonlinear control of antagonistically actuating pneumatic artificial muscles. AIM Roman Weiss, Benjamin Grossmann, Marion Leibold, Thomas Schlegl, Dirk Wollherr
2017	—	`conf`	Protective control for robot manipulator by sliding mode based disturbance reconstruction approach. AIM Yiyong Sun, Zengjie Zhang, Marion Leibold, Rameez Hayat, Dirk Wollherr, Martin Buss
2016	A*	`conf`	Online motion planning over uneven terrain with walking primitives and regression. ICRA Sotiris Apostolopoulos, Marion Leibold, Martin Buss
2015	A	`conf`	Settling time reduction for underactuated walking robots. IROS Sotiris Apostolopoulos, Marion Leibold, Martin Buss
2014	J	`jnl`	A Globally Convergent, Locally Optimal Min-H Algorithm for Hybrid Optimal Control. SIAM J. Control. Optim. Benjamin Passenberg, Marion Leibold, Olaf Stursberg, Martin Buss
2013	J	`jnl`	Optimal Control for Hybrid Systems With Partitioned State Space. IEEE Trans. Autom. Control. Benjamin Passenberg, Peter E. Caines, Marion Leibold, Olaf Stursberg, Martin Buss
2012	A*	`conf`	Online stability compensation of mobile manipulators using recursive calculation of ZMP gradients. ICRA Sohee Lee, Marion Leibold, Martin Buss, Frank C. Park
2012	J	`jnl`	Rollover Prevention of Mobile Manipulators using Invariance Control and Recursive analytic Zmp Gradients. Adv. Robotics Sohee Lee, Marion Leibold, Martin Buss, Frank Chongwoo Park
2011	—	`conf`	Imitating human reaching motions using physically inspired optimization principles. Humanoids Sebastian Albrecht, Karinne Ramírez-Amaro, Federico Ruiz-Ugalde, David Weikersdorfer, Marion Leibold, Michael Ulbrich, Michael Beetz
2011	—	`conf`	The minimum principle for time-varying hybrid systems with state switching and jumps. CDC/ECC Benjamin Passenberg, Marion Leibold, Olaf Stursberg, Martin Buss
2011	—	`conf`	Trajectory planning for manipulators based on the optimal concatenation of LQ control primitives. CDC/ECC Michael Steinegger, Benjamin Passenberg, Marion Leibold, Martin Buss