Diffusion Predictive Control with Constraints
Fuente:
arXiv
Guardado en:
| Autores principales: | Römer, Ralf, von Rohr, Alexander, Schoellig, Angela P. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems
por: Römer, Ralf, et al.
Publicado: (2024)
por: Römer, Ralf, et al.
Publicado: (2024)
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents
por: Bejarano, Federico Pizarro, et al.
Publicado: (2024)
por: Bejarano, Federico Pizarro, et al.
Publicado: (2024)
ProDapt: Proprioceptive Adaptation using Long-term Memory Diffusion
por: Bejarano, Federico Pizarro, et al.
Publicado: (2025)
por: Bejarano, Federico Pizarro, et al.
Publicado: (2025)
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
por: Hose, Henrik, et al.
Publicado: (2025)
por: Hose, Henrik, et al.
Publicado: (2025)
Simulation-Aided Policy Tuning for Black-Box Robot Learning
por: He, Shiming, et al.
Publicado: (2024)
por: He, Shiming, et al.
Publicado: (2024)
scipy.spatial.transform: Differentiable Framework-Agnostic 3D Transformations in Python
por: Schuck, Martin, et al.
Publicado: (2025)
por: Schuck, Martin, et al.
Publicado: (2025)
Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems
por: Farger, Tobias A., et al.
Publicado: (2026)
por: Farger, Tobias A., et al.
Publicado: (2026)
Local Bayesian Optimization for Controller Tuning with Crash Constraints
por: von Rohr, Alexander, et al.
Publicado: (2024)
por: von Rohr, Alexander, et al.
Publicado: (2024)
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
por: Kondo, Kota, et al.
Publicado: (2024)
por: Kondo, Kota, et al.
Publicado: (2024)
Robust Direct Data-Driven Control for Probabilistic Systems
por: von Rohr, Alexander, et al.
Publicado: (2023)
por: von Rohr, Alexander, et al.
Publicado: (2023)
Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
por: Briden, Julia, et al.
Publicado: (2024)
por: Briden, Julia, et al.
Publicado: (2024)
Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops
por: Rober, Nicholas, et al.
Publicado: (2024)
por: Rober, Nicholas, et al.
Publicado: (2024)
Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance
por: Briden, Julia, et al.
Publicado: (2025)
por: Briden, Julia, et al.
Publicado: (2025)
Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions
por: Compton, William D., et al.
Publicado: (2024)
por: Compton, William D., et al.
Publicado: (2024)
Denoising Diffusion-Based Control of Nonlinear Systems
por: Elamvazhuthi, Karthik, et al.
Publicado: (2024)
por: Elamvazhuthi, Karthik, et al.
Publicado: (2024)
Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions
por: Kim, Hansung, et al.
Publicado: (2024)
por: Kim, Hansung, et al.
Publicado: (2024)
Addressing Relative Degree Issues in Control Barrier Function Synthesis with Physics-Informed Neural Networks
por: Brunke, Lukas, et al.
Publicado: (2025)
por: Brunke, Lukas, et al.
Publicado: (2025)
Online Intention Prediction via Control-Informed Learning
por: Zhou, Tianyu, et al.
Publicado: (2026)
por: Zhou, Tianyu, et al.
Publicado: (2026)
Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
por: Nigam, Unnati, et al.
Publicado: (2026)
por: Nigam, Unnati, et al.
Publicado: (2026)
A Tutorial on Gaussian Process Learning-based Model Predictive Control
por: Wang, Jie, et al.
Publicado: (2024)
por: Wang, Jie, et al.
Publicado: (2024)
Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
por: Bøhn, Eivind, et al.
Publicado: (2021)
por: Bøhn, Eivind, et al.
Publicado: (2021)
Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
por: Elamvazhuthi, Karthik, et al.
Publicado: (2025)
por: Elamvazhuthi, Karthik, et al.
Publicado: (2025)
Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control
por: Chee, Kong Yao, et al.
Publicado: (2024)
por: Chee, Kong Yao, et al.
Publicado: (2024)
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
por: Saviolo, Alessandro, et al.
Publicado: (2022)
por: Saviolo, Alessandro, et al.
Publicado: (2022)
Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
por: Ingole, Deepak, et al.
Publicado: (2025)
por: Ingole, Deepak, et al.
Publicado: (2025)
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections
por: Chen, Di, et al.
Publicado: (2024)
por: Chen, Di, et al.
Publicado: (2024)
M$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model
por: Wen, Kehan, et al.
Publicado: (2024)
por: Wen, Kehan, et al.
Publicado: (2024)
Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control
por: Morita, Mitsuki, et al.
Publicado: (2024)
por: Morita, Mitsuki, et al.
Publicado: (2024)
Model Predictive Path Integral PID Control for Learning-Based Path Following
por: Kato, Teruki, et al.
Publicado: (2026)
por: Kato, Teruki, et al.
Publicado: (2026)
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
por: Dawood, Murad, et al.
Publicado: (2025)
por: Dawood, Murad, et al.
Publicado: (2025)
Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
por: Clement, Mihaela-Larisa, et al.
Publicado: (2026)
por: Clement, Mihaela-Larisa, et al.
Publicado: (2026)
Data-Driven Predictive Control of Nonholonomic Robots Based on a Bilinear Koopman Realization: Data Does Not Replace Geometry
por: Rosenfelder, Mario, et al.
Publicado: (2024)
por: Rosenfelder, Mario, et al.
Publicado: (2024)
Improving Drone Racing Performance Through Iterative Learning MPC
por: Zhao, Haocheng, et al.
Publicado: (2025)
por: Zhao, Haocheng, et al.
Publicado: (2025)
Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments
por: Derajić, Bojan, et al.
Publicado: (2025)
por: Derajić, Bojan, et al.
Publicado: (2025)
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
por: Zheng, Dongzhe, et al.
Publicado: (2025)
por: Zheng, Dongzhe, et al.
Publicado: (2025)
Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory
por: Licher, Johann, et al.
Publicado: (2025)
por: Licher, Johann, et al.
Publicado: (2025)
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions
por: Xiao, Wei, et al.
Publicado: (2023)
por: Xiao, Wei, et al.
Publicado: (2023)
A Modular Framework for Motion Planning using Safe-by-Design Motion Primitives
por: Vukosavljev, Marijan, et al.
Publicado: (2019)
por: Vukosavljev, Marijan, et al.
Publicado: (2019)
Model-Based Diffusion for Trajectory Optimization
por: Pan, Chaoyi, et al.
Publicado: (2024)
por: Pan, Chaoyi, et al.
Publicado: (2024)
Diffusion Policies for Generative Modeling of Spacecraft Trajectories
por: Briden, Julia, et al.
Publicado: (2025)
por: Briden, Julia, et al.
Publicado: (2025)
Ejemplares similares
-
Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems
por: Römer, Ralf, et al.
Publicado: (2024) -
Safety Filtering While Training: Improving the Performance and Sample Efficiency of Reinforcement Learning Agents
por: Bejarano, Federico Pizarro, et al.
Publicado: (2024) -
ProDapt: Proprioceptive Adaptation using Long-term Memory Diffusion
por: Bejarano, Federico Pizarro, et al.
Publicado: (2025) -
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
por: Hose, Henrik, et al.
Publicado: (2025) -
Simulation-Aided Policy Tuning for Black-Box Robot Learning
por: He, Shiming, et al.
Publicado: (2024)