Copertina

SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Tzu-Yuan, Lederer, Armin, Wu, Dai-Jie, Dai, Xiaobing, Zhang, Sihua, Sosnowski, Stefan, Sun, Shao-Hua, Hirche, Sandra
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Robotics Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SafeFlow: Safe Robot Motion Planning with Flow Matching via Control Barrier Functions
di: Dai, Xiaobing, et al.
Pubblicazione: (2025)

UniConFlow: A Unified Constrained Flow-Matching Framework for Certified Motion Planning
di: Yang, Zewen, et al.
Pubblicazione: (2025)

Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions
di: Huang, Tzu-Yuan, et al.
Pubblicazione: (2024)

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
di: Yang, Zewen, et al.
Pubblicazione: (2024)

Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes
di: Tesfazgi, Samuel, et al.
Pubblicazione: (2024)

Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
di: Huang, Tzu-Yuan, et al.
Pubblicazione: (2024)

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
di: Lederer, Armin, et al.
Pubblicazione: (2019)

Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
di: Zhang, Sihua, et al.
Pubblicazione: (2024)

HumanHalo - Safe and Efficient 3D Navigation Among Humans via Minimally Conservative MPC
di: Schaefer, Simon, et al.
Pubblicazione: (2025)

Koopman-Equivariant Gaussian Processes
di: Bevanda, Petar, et al.
Pubblicazione: (2025)

Koopman Kernel Regression
di: Bevanda, Petar, et al.
Pubblicazione: (2023)

SafeFlowMatcher: Safe and Fast Planning using Flow Matching with Control Barrier Functions
di: Yang, Jeongyong, et al.
Pubblicazione: (2025)

Learning Safe Control via On-the-Fly Bandit Exploration
di: Capone, Alexandre, et al.
Pubblicazione: (2025)

Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
di: Dai, Xiaobing, et al.
Pubblicazione: (2023)

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
di: Yang, Zewen, et al.
Pubblicazione: (2024)

Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models
di: Zheng, Lei, et al.
Pubblicazione: (2026)

Interactive Force-Impedance Control
di: Shao, Fan, et al.
Pubblicazione: (2025)

A Wind-Aware Path Planning Method for UAV-Asisted Bridge Inspection
di: Xu, Jian, et al.
Pubblicazione: (2024)

Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
di: Ding, Haoran, et al.
Pubblicazione: (2025)

Safe Bubble Cover for Motion Planning on Distance Fields
di: Lee, Ki Myung Brian, et al.
Pubblicazione: (2024)

DynaFlow: Dynamics-embedded Flow Matching for Physically Consistent Motion Generation from State-only Demonstrations
di: Lee, Sowoo, et al.
Pubblicazione: (2025)

Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation
di: Brüdigam, Jan, et al.
Pubblicazione: (2024)

Safe Event-triggered Gaussian Process Learning for Barrier-Constrained Control
di: Lederer, Armin, et al.
Pubblicazione: (2024)

Trajectory-Consistent Flow Matching for Robust Visuomotor Policy Learning
di: Ahmed, Riad, et al.
Pubblicazione: (2026)

Safe Gap-based Planning in Dynamic Settings
di: Asselmeier, Max, et al.
Pubblicazione: (2025)

SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-based Policies
di: Oelerich, Thies, et al.
Pubblicazione: (2026)

Safe Dynamic Motion Generation in Configuration Space Using Differentiable Distance Fields
di: Chi, Xuemin, et al.
Pubblicazione: (2024)

FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching
di: Nguyen, Khang, et al.
Pubblicazione: (2025)

Safe Interval Motion Planning for Quadrotors in Dynamic Environments
di: Huang, Songhao, et al.
Pubblicazione: (2024)

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching
di: Qiu, Xiaotian, et al.
Pubblicazione: (2026)

SANDO: Safe Autonomous Trajectory Planning for Dynamic Unknown Environments
di: Kondo, Kota, et al.
Pubblicazione: (2026)

FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation
di: Zhang, Qinglun, et al.
Pubblicazione: (2024)

Risk-Aware Trajectory Optimization and Control for an Underwater Suspended Robotic System
di: Origane, Yuki, et al.
Pubblicazione: (2025)

Flow Motion Policy: Manipulator Motion Planning with Flow Matching Models
di: Soleymanzadeh, Davood, et al.
Pubblicazione: (2026)

Adaptive Time Step Flow Matching for Autonomous Driving Motion Planning
di: Trivedi, Ananya, et al.
Pubblicazione: (2026)

Robust Flower Cluster Matching Using The Unscented Transform
di: Chu, Andy, et al.
Pubblicazione: (2025)

Safe Learning for Contact-Rich Robot Tasks: A Survey from Classical Learning-Based Methods to Safe Foundation Models
di: Zhang, Heng, et al.
Pubblicazione: (2025)

RCSP: Risk-Sensitive Conjectural Scenario Planning for Safe Dynamic Robot Navigation
di: Han, Zhengye, et al.
Pubblicazione: (2026)

Cross Domain Policy Transfer with Effect Cycle-Consistency
di: Zhu, Ruiqi, et al.
Pubblicazione: (2024)

Neural Elevation Models for Terrain Mapping and Path Planning
di: Dai, Adam, et al.
Pubblicazione: (2024)