Saved in:
| Main Authors: | Xing, Zekun, Chaudhari, Ramkrishna, Leibold, Marion, Wollherr, Dirk, Buss, Martin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.22600 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving
by: Benciolini, Tommaso, et al.
Published: (2024)
by: Benciolini, Tommaso, et al.
Published: (2024)
Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty - Extended Version
by: Teutsch, Johannes, et al.
Published: (2024)
by: Teutsch, Johannes, et al.
Published: (2024)
Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control
by: Bouzidi, Mohamed-Khalil, et al.
Published: (2024)
by: Bouzidi, Mohamed-Khalil, et al.
Published: (2024)
Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems
by: Fink, Michael, et al.
Published: (2024)
by: Fink, Michael, et al.
Published: (2024)
Offline Uncertainty Sampling in Data-driven Stochastic MPC
by: Teutsch, Johannes, et al.
Published: (2023)
by: Teutsch, Johannes, et al.
Published: (2023)
Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach
by: Teutsch, Johannes, et al.
Published: (2024)
by: Teutsch, Johannes, et al.
Published: (2024)
Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing
by: Bari, Salman, et al.
Published: (2022)
by: Bari, Salman, et al.
Published: (2022)
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants
by: Benciolini, Tommaso, et al.
Published: (2024)
by: Benciolini, Tommaso, et al.
Published: (2024)
An Online Adaptation Strategy for Direct Data-driven Control
by: Teutsch, Johannes, et al.
Published: (2023)
by: Teutsch, Johannes, et al.
Published: (2023)
Active Fault Identification and Robust Control for Unknown Bounded Faults via Volume-Based Costs
by: Daniels, Annalena, et al.
Published: (2025)
by: Daniels, Annalena, et al.
Published: (2025)
Risk in Stochastic and Robust Model Predictive Path-Following Control for Vehicular Motion Planning
by: Tolksdorf, Leon, et al.
Published: (2023)
by: Tolksdorf, Leon, et al.
Published: (2023)
Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving
by: Niu, Tian, et al.
Published: (2024)
by: Niu, Tian, et al.
Published: (2024)
Robustified Time-optimal Point-to-point Motion Planning and Control under Uncertainty
by: Zhang, Shuhao, et al.
Published: (2025)
by: Zhang, Shuhao, et al.
Published: (2025)
Grasping in Uncertain Environments: A Case Study For Industrial Robotic Recycling
by: Daniels, Annalena, et al.
Published: (2025)
by: Daniels, Annalena, et al.
Published: (2025)
Graph-of-Constraints Model Predictive Control for Reactive Multi-agent Task and Motion Planning
by: Manganaris, Anastasios, et al.
Published: (2026)
by: Manganaris, Anastasios, et al.
Published: (2026)
Accelerated Multi-Modal Motion Planning Using Context-Conditioned Diffusion Models
by: Sandra, Edward, et al.
Published: (2025)
by: Sandra, Edward, et al.
Published: (2025)
Robust Predictive Motion Planning by Learning Obstacle Uncertainty
by: Zhou, Jian, et al.
Published: (2024)
by: Zhou, Jian, et al.
Published: (2024)
Conflict-Based Model Predictive Control for Scalable Multi-Robot Motion Planning
by: Tajbakhsh, Ardalan, et al.
Published: (2023)
by: Tajbakhsh, Ardalan, et al.
Published: (2023)
Integrating Uncertainty-Aware Human Motion Prediction into Graph-Based Manipulator Motion Planning
by: Liu, Wansong, et al.
Published: (2024)
by: Liu, Wansong, et al.
Published: (2024)
Sampling-based Task and Kinodynamic Motion Planning under Semantic Uncertainty
by: Ho, Qi Heng, et al.
Published: (2026)
by: Ho, Qi Heng, et al.
Published: (2026)
Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning
by: Zhang, Yuezhe, et al.
Published: (2023)
by: Zhang, Yuezhe, et al.
Published: (2023)
Model Predictive Control for Optimal Motion Planning of Unmanned Aerial Vehicles
by: Bui, Duy-Nam, et al.
Published: (2024)
by: Bui, Duy-Nam, et al.
Published: (2024)
Multi-Agent Feedback Motion Planning using Probably Approximately Correct Nonlinear Model Predictive Control
by: Gonzales, Mark, et al.
Published: (2025)
by: Gonzales, Mark, et al.
Published: (2025)
Multi-contact Stochastic Predictive Control for Legged Robots with Contact Locations Uncertainty
by: Gazar, Ahmad, et al.
Published: (2023)
by: Gazar, Ahmad, et al.
Published: (2023)
CC-VPSTO: Chance-Constrained Via-Point-Based Stochastic Trajectory Optimisation for Online Robot Motion Planning under Uncertainty
by: Brudermüller, Lara, et al.
Published: (2024)
by: Brudermüller, Lara, et al.
Published: (2024)
Graph Neural Planning and Predictive Control for Multi-Robot Communication-Constrained Unlabeled Motion Planning
by: Goarin, Manohari, et al.
Published: (2026)
by: Goarin, Manohari, et al.
Published: (2026)
Hierarchical Motion Planning and Control under Unknown Nonlinear Dynamics via Predicted Reachability
by: Zhang, Zhiquan, et al.
Published: (2026)
by: Zhang, Zhiquan, et al.
Published: (2026)
Trajectory Planning with Model Predictive Control for Obstacle Avoidance Considering Prediction Uncertainty
by: Schöneberg, Eric, et al.
Published: (2025)
by: Schöneberg, Eric, et al.
Published: (2025)
Hierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous Vehicles
by: Nguyen, Hung Duy, et al.
Published: (2024)
by: Nguyen, Hung Duy, et al.
Published: (2024)
Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction
by: Marvi, Sajad, et al.
Published: (2025)
by: Marvi, Sajad, et al.
Published: (2025)
Scenario Convex Programs for Dexterous Manipulation under Modeling Uncertainties
by: Altiner, Berk, et al.
Published: (2024)
by: Altiner, Berk, et al.
Published: (2024)
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
by: Hallgarten, Marcel, et al.
Published: (2024)
by: Hallgarten, Marcel, et al.
Published: (2024)
RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions
by: Mustafa, Khaled A., et al.
Published: (2024)
by: Mustafa, Khaled A., et al.
Published: (2024)
Multi-Robot Coordination for Planning under Context Uncertainty
by: Rustagi, Pulkit, et al.
Published: (2026)
by: Rustagi, Pulkit, et al.
Published: (2026)
Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios
by: Moller, Korbinian, et al.
Published: (2025)
by: Moller, Korbinian, et al.
Published: (2025)
Hierarchical Planning for Long-Horizon Multi-Target Tracking Under Target Motion Uncertainty
by: Yuan, Junbin, et al.
Published: (2025)
by: Yuan, Junbin, et al.
Published: (2025)
Parallel Branch Model Predictive Control on GPUs
by: Zhang, Luyao, et al.
Published: (2025)
by: Zhang, Luyao, et al.
Published: (2025)
STL-Based Motion Planning and Uncertainty-Aware Risk Analysis for Human-Robot Collaboration with a Multi-Rotor Aerial Vehicle
by: Silano, Giuseppe, et al.
Published: (2025)
by: Silano, Giuseppe, et al.
Published: (2025)
Adaptive Planning with Generative Models under Uncertainty
by: Jutras-Dubé, Pascal, et al.
Published: (2024)
by: Jutras-Dubé, Pascal, et al.
Published: (2024)
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing
by: Askari, Iman, et al.
Published: (2025)
by: Askari, Iman, et al.
Published: (2025)
Similar Items
-
Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving
by: Benciolini, Tommaso, et al.
Published: (2024) -
Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty - Extended Version
by: Teutsch, Johannes, et al.
Published: (2024) -
Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control
by: Bouzidi, Mohamed-Khalil, et al.
Published: (2024) -
Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems
by: Fink, Michael, et al.
Published: (2024) -
Offline Uncertainty Sampling in Data-driven Stochastic MPC
by: Teutsch, Johannes, et al.
Published: (2023)