Imagen de Portada

ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Funk, Niklas, Urain, Julen, Carvalho, Joao, Prasad, Vignesh, Chalvatzaki, Georgia, Peters, Jan
Formato:	Preprint
Publicado:	2024
Materias:	Robotics Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Hierarchical Policy Blending as Inference for Reactive Robot Control
por: Hansel, Kay, et al.
Publicado: (2022)

Global Tensor Motion Planning
por: Le, An T., et al.
Publicado: (2024)

ActionFlow: A Pipelined Action Acceleration for Vision Language Models on Edge
por: Dai, Yuntao, et al.
Publicado: (2025)

Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation
por: Diwan, Anish Abhijit, et al.
Publicado: (2025)

SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation
por: Jin, Yufeng, et al.
Publicado: (2025)

PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations
por: Qian, Cheng, et al.
Publicado: (2024)

Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields
por: Herrmann, Felix, et al.
Publicado: (2024)

Action-to-Action Flow Matching
por: Jia, Jindou, et al.
Publicado: (2026)

On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting
por: Funk, Niklas, et al.
Publicado: (2025)

Task-Aware Bimanual Affordance Prediction via VLM-Guided Semantic-Geometric Reasoning
por: Hahne, Fabian, et al.
Publicado: (2026)

VITA: Vision-to-Action Flow Matching Policy
por: Gao, Dechen, et al.
Publicado: (2025)

SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning
por: Pan, Xu, et al.
Publicado: (2026)

Active-Perceptive Motion Generation for Mobile Manipulation
por: Jauhri, Snehal, et al.
Publicado: (2023)

Morphologically Equivariant Flow Matching for Bimanual Mobile Manipulation
por: Siebenborn, Max, et al.
Publicado: (2026)

Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation
por: Funk, Niklas, et al.
Publicado: (2023)

EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
por: Chang, Jianlei, et al.
Publicado: (2025)

Action Flow Matching for Continual Robot Learning
por: Murillo-Gonzalez, Alejandro, et al.
Publicado: (2025)

Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
por: Urain, Julen, et al.
Publicado: (2024)

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

Learning Native Continuation for Action Chunking Flow Policies
por: Liu, Yufeng, et al.
Publicado: (2026)

Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers
por: Jauhri, Snehal, et al.
Publicado: (2026)

Semantic-Geometric Task Representations for Bimanual Manipulation from Human Demonstrations to Robot Action Planning
por: Herbert, Franziska, et al.
Publicado: (2026)

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
por: Carvalho, Joao, et al.
Publicado: (2024)

Real-Time Execution of Action Chunking Flow Policies
por: Black, Kevin, et al.
Publicado: (2025)

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
por: Su, Yifei, et al.
Publicado: (2025)

AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models
por: Jiang, Yuhua, et al.
Publicado: (2025)

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
por: Kang, Sinjae, et al.
Publicado: (2026)

ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching
por: Zhang, Shuoheng, et al.
Publicado: (2026)

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
por: Krohn, Rickmer, et al.
Publicado: (2025)

Affordance-based Robot Manipulation with Flow Matching
por: Zhang, Fan, et al.
Publicado: (2024)

Bimanual Robot Manipulation via Multi-Agent In-Context Learning
por: Palma, Alessio, et al.
Publicado: (2026)

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

Flow Policy Gradients for Robot Control
por: Yi, Brent, et al.
Publicado: (2026)

Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks
por: Kurtz, Vince, et al.
Publicado: (2025)

Think Twice, Act Once: Verifier-Guided Action Selection For Embodied Agents
por: Singhi, Nishad, et al.
Publicado: (2026)

Flow Matching Ergodic Coverage
por: Sun, Max Muchen, et al.
Publicado: (2025)

Dense-Jump Flow Matching with Non-Uniform Time Scheduling for Robotic Policies: Mitigating Multi-Step Inference Degradation
por: Chen, Zidong, et al.
Publicado: (2025)

MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations
por: Prasad, Vignesh, et al.
Publicado: (2024)

Learning Multimodal Latent Dynamics for Human-Robot Interaction
por: Prasad, Vignesh, et al.
Publicado: (2023)

One-Step Flow Policy: Self-Distillation for Fast Visuomotor Policies
por: Li, Shaolong, et al.
Publicado: (2026)