Copertina

Aligning Diffusion Model with Problem Constraints for Trajectory Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Anjian, Beeson, Ryne
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Constraint-Aware Diffusion Models for Trajectory Optimization
di: Li, Anjian, et al.
Pubblicazione: (2024)

DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization
di: Li, Anjian, et al.
Pubblicazione: (2024)

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models
di: Graebner, Jannik, et al.
Pubblicazione: (2024)

Predictive Planner for Autonomous Driving with Consistency Models
di: Li, Anjian, et al.
Pubblicazione: (2025)

GLENS: Global Search via Learning from Solver Iterates with Diffusion Models
di: Li, Anjian, et al.
Pubblicazione: (2026)

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models
di: Beeson, Ryne, et al.
Pubblicazione: (2024)

Global Search for Optimal Low Thrust Spacecraft Trajectories using Diffusion Models and the Indirect Method
di: Graebner, Jannik, et al.
Pubblicazione: (2025)

Gradient-Informed Monte Carlo Fine-Tuning of Diffusion Models for Low-Thrust Trajectory Design
di: Graebner, Jannik, et al.
Pubblicazione: (2025)

Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo
di: Graebner, Jannik, et al.
Pubblicazione: (2026)

CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
di: Kondo, Kota, et al.
Pubblicazione: (2024)

Model-Based Diffusion for Trajectory Optimization
di: Pan, Chaoyi, et al.
Pubblicazione: (2024)

SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics
di: Liu, Yifan, et al.
Pubblicazione: (2024)

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
di: Briden, Julia, et al.
Pubblicazione: (2024)

Self-supervised diffusion model fine-tuning for costate initialization using Markov chain Monte Carlo
di: Graebner, Jannik, et al.
Pubblicazione: (2025)

ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models
di: Wei, Jiarong, et al.
Pubblicazione: (2025)

Constrained Stein Variational Trajectory Optimization
di: Power, Thomas, et al.
Pubblicazione: (2023)

Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization
di: Calì, Marco, et al.
Pubblicazione: (2025)

xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing
di: Niu, Haoyi, et al.
Pubblicazione: (2024)

Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control
di: Ren, Hao, et al.
Pubblicazione: (2026)

TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems
di: Yonetani, Ryo
Pubblicazione: (2024)

STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
di: Goli, Hossein, et al.
Pubblicazione: (2025)

D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation
di: Yamada, Jun, et al.
Pubblicazione: (2024)

Dichotomous Diffusion Policy Optimization
di: Liang, Ruiming, et al.
Pubblicazione: (2025)

SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
di: Bae, Inhwan, et al.
Pubblicazione: (2024)

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving
di: Wang, Baoyun, et al.
Pubblicazione: (2026)

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization
di: Idoko, Simon, et al.
Pubblicazione: (2025)

Diffusion Predictive Control with Constraints
di: Römer, Ralf, et al.
Pubblicazione: (2024)

Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
di: Wang, Guanquan, et al.
Pubblicazione: (2025)

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics
di: Yang, Heng
Pubblicazione: (2026)

Diffusion Policy Policy Optimization
di: Ren, Allen Z., et al.
Pubblicazione: (2024)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
di: Huang, Jianuo
Pubblicazione: (2024)

Diffusion Policies for Generative Modeling of Spacecraft Trajectories
di: Briden, Julia, et al.
Pubblicazione: (2025)

Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints
di: Gao, Shiqing, et al.
Pubblicazione: (2024)

Generative Trajectory Stitching through Diffusion Composition
di: Luo, Yunhao, et al.
Pubblicazione: (2025)

LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning
di: Feng, Zeyu, et al.
Pubblicazione: (2024)

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories
di: Mobarakeh, Niloufar Saeidi, et al.
Pubblicazione: (2024)

PhysVarMix: Physics-Informed Variational Mixture Model for Multi-Modal Trajectory Prediction
di: Li, Haichuan, et al.
Pubblicazione: (2025)

Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory Planning
di: Guillen-Perez, Antonio
Pubblicazione: (2025)

Beyond Euclidean Proximity: Repairing Latent World Models with Horizon-Matched Trajectory Reachability Metrics
di: Li, Liangyu, et al.
Pubblicazione: (2026)

RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control
di: Yue, Junpeng, et al.
Pubblicazione: (2025)