FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
On the map: Vision-language-action models → Generalist VLA models and benchmarks
Abstract (arXiv)
Developing efficient Vision-Language-Action (VLA) policies is crucial for practical robotics deployment, yet current approaches face prohibitive computational costs and resource requirements. Existing diffusion-based VLA policies require multi-billion-parameter models and massive datasets to achieve strong performance. We tackle this efficiency challenge with two contributions: intermediate-modality fusion, which reallocates capacity to the diffusion head by pruning up to 50% of LLM layers, and action-specific Global-AdaLN conditioning, which cuts parameters by 20% through modular adaptation. We integrate these advances into a novel 950 M-parameter VLA called FLOWER. Pretrained in just 200 H100 GPU hours, FLOWER delivers competitive performance with bigger VLAs across 190 tasks spanning ten simulation and real-world benchmarks and demonstrates robustness across diverse robotic embodiments. In addition, FLOWER achieves a new SoTA of 4.53 on the CALVIN ABC benchmark. Demos, code and pretrained weights are available at https://intuitive-robots.github.io/flowervla/.
Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). Placed in Generalist VLA models and benchmarks, one of 13 directions in Vision-language-action models. Builds on 62 of its 67 references that are in the map. First posted on arXiv 5 Sep 2025.
Builds on
62 of 67 references.
Closest ancestors · 8
Same direction, newest first
- 2025Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better29 May
- 2025Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success27 Feb
- 2024What Matters in Building Vision-Language-Action Models for Generalist Robots18 Dec
- 2024π0: A Vision-Language-Action Flow Model for General Robot Control31 Oct
- 2024Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation10 Oct
- 2024TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation19 Sep
- 2024OpenVLA: An Open-Source Vision-Language-Action Model13 Jun
- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control28 Jul
Other references · 54
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- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
- 2022Scalable Diffusion Models with Transformerscited by 5,931
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- 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,550
- 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,730
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- 2022RT-1: Robotics Transformer for Real-World Control at Scalecited by 2,007
- 2020GLU Variants Improve Transformercited by 1,724
- 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardwarecited by 1,490
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- 2023LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learningcited by 1,338
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- 2022Building Normalizing Flows with Stochastic Interpolantscited by 964
- 2023Open X-Embodiment: Robotic Learning Datasets and RT-X Modelscited by 849
- 2024RDT-1B: a Diffusion Foundation Model for Bimanual Manipulationcited by 670
- 2025FAST: Efficient Action Tokenization for Vision-Language-Action Modelscited by 643
- 2023BridgeData V2: A Dataset for Robot Learning at Scalecited by 634
- 2021CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Taskscited by 564
- 2024Scaling and evaluating sparse autoencoderscited by 530
- 2024Evaluating Real-World Robot Manipulation Policies in Simulationcited by 484
- 2023Florence-2: Advancing a Unified Representation for a Variety of Vision Taskscited by 403
- 2024Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperationcited by 377
- 2023Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulationcited by 353
- 2023Vision-Language Foundation Models as Effective Robot Imitatorscited by 344
- 2024Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representationscited by 279
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- 2020Query-Key Normalization for Transformerscited by 266
- 2023Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Modelscited by 264
- 2023Goal-Conditioned Imitation Learning using Score-based Diffusion Policiescited by 229
- 2025SmolVLM: Redefining small and efficient multimodal modelscited by 226
- 2015Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hourscited by 208
- 2024Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulationcited by 159
- 2024Data Scaling Laws in Imitation Learning for Robotic Manipulationcited by 144
- 2024Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goalscited by 131
- 2024DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Executioncited by 116
- 2020One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Controlcited by 114
- 2024Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviationcited by 108
- 2023On Bringing Robots Homecited by 101
- 2024BAKU: An Efficient Transformer for Multi-Task Policy Learningcited by 80
- 2024The Ingredients for Robotic Diffusion Transformerscited by 72
- 2024Riemannian Flow Matching Policy for Robot Motion Learningcited by 61
- 2024Affordance-based Robot Manipulation with Flow Matchingcited by 54
- 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrationscited by 51
- 2024Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learningcited by 46
- 2024Robot Utility Models: General Policies for Zero-Shot Deployment in New Environmentscited by 43
- 2018Hardware Conditioned Policies for Multi-Robot Transfer Learningcited by 42
50 most cited of 54 All 54 (JSON)
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Citing papers per year: 2025: 13; 2026: 43.
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- 2025X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Modelcited by 285
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50 most cited of 56 All 56 (JSON)
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- 2026ReCAT: Remember, Count, and Time: Structured Recurrent Memory for Robot Manipulation28 Sep 2026
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- 2026PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction20 May 2026
- 2026From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation12 May 2026
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- 2026StarVLA-α: Reducing Complexity in Vision-Language-Action Systems13 Apr 2026
- 2026LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models30 Mar 2026
- 2026Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance26 Mar 2026
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- 2026OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism15 Mar 2026
- 2026AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models10 Mar 2026
- 2026CORAL: Scalable Multi-Task Robot Learning via LoRA Experts10 Mar 2026
- 2026Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models2 Mar 2026
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- 2026Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution13 Feb 2026
- 2026HoloBrain-0 Technical Report12 Feb 2026
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- 2026Green-VLA: Staged Vision-Language-Action Model for Generalist Robots31 Jan 2026
- 2026Causal World Modeling for Robot Control29 Jan 2026
- 2026AC^2-VLA: Action-Context-Aware Adaptive Computation in Vision-Language-Action Models for Efficient Robotic Manipulation27 Jan 2026
- 2026IVRA: Improving Visual-Token Relations for Robot Action Policy with Training-Free Hint-Based Guidance22 Jan 2026
- 2026CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion14 Jan 2026
- 2025Robotic VLA Benefits from Joint Learning with Motion Image Diffusion19 Dec 2025
- 2025mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs17 Dec 2025
- 2025HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies5 Dec 2025
- 2025EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI1 Dec 2025
- 2025AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention24 Nov 2025
- 2025SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding21 Nov 2025
- 2025Freeze, Share, Shrink: Rethinking the Action Backbone in Diffusion Policies15 Nov 2025
50 newest of 56 All 56 (JSON)
- 2025X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Modelcited by 285
- 2025mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAscited by 133
- 2026Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Executioncited by 42
- 2025A Survey on Efficient Vision-Language-Action Modelscited by 34
- 2026StarVLA-α: Reducing Complexity in Vision-Language-Action Systemscited by 27
- 2026QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Modelscited by 25
- 2025AVA-VLA: Improving Vision-Language-Action models with Active Visual Attentioncited by 22
- 2026HoloBrain-0 Technical Reportcited by 20
- 2026FASTER: Rethinking Real-Time Flow VLAscited by 20
- 2026CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansioncited by 14
- 2025HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policiescited by 10
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12 most cited of 36 All 36 (JSON)
- 2026Discrete Forcing: Infusing Discrete Guidance into Continuous Denoising for Few-Step Action Experts30 Sep 2026
- 2026Rho: A Foundation for Efficiently Adaptable VLA Models29 Sep 2026
- 2026GeomVLA: Unifying Scene, Motion, and Action in 3D12 Sep 2026
- 2026StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models26 Aug 2026
- 2026ChunkFlow: Towards Continuity-Consistent Chunked Policy Learning14 Jul 2026
- 2026LEEVLA: Seeing What Matters in Latent Environment Evolution for Vision-Language-Action9 Jul 2026
- 2026WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning24 Jun 2026
- 2026Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think18 Jun 2026
- 2026Tri-Info: Generalizable, Interpretable Failure Prediction for VLA Models via Information Theory18 Jun 2026
- 2026PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space16 Jun 2026
- 2026MPCoT: Reward-Guided Multi-Path Latent Reasoning for Test-Time Scalable Vision-Language-Action4 Jun 2026
- 2026PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction20 May 2026
12 newest of 36 All 36 (JSON)
- 2025Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Surveycited by 25
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- 2026QuoVLA: Quotient Space for Vision-Language-Action Modelscited by 2
- 2026Semantic Anchoring for Robotic Action Representationscited by 0
- 2026Semantic Anchoring for Robotic Action Representations15 Jul 2026
- 2026QuoVLA: Quotient Space for Vision-Language-Action Models24 May 2026
- 2026VLANeXt: Recipes for Building Strong VLA Models20 Feb 2026
- 2025Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey20 Oct 2025
- 2026Causal World Modeling for Robot Controlcited by 289
- 2026hint2: Hierarchical World Models for Inference-Time Temporal Logic Guidancecited by 1
- 2026SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulationcited by 0
- 2026Staircase Policy: Streaming Inference for World-Action Models with Large Action Chunkscited by 0
- 2026Staircase Policy: Streaming Inference for World-Action Models with Large Action Chunks29 Sep 2026
- 2026hint2: Hierarchical World Models for Inference-Time Temporal Logic Guidance13 Aug 2026
- 2026SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation10 Aug 2026
- 2026Causal World Modeling for Robot Control29 Jan 2026
- 2026ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learningcited by 94
- 2025ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problemscited by 6
- 2025EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AIcited by 4
- 2025SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understandingcited by 2
- 2026From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulationcited by 2
- 2026ASCII Art Turns LLMs into VLA Controllerscited by 1
- 2026VLN on the Fly: An Onboard Vision-Language Navigation Stack for Aerial Robotscited by 0
- 2026ReCAT: Remember, Count, and Time: Structured Recurrent Memory for Robot Manipulationcited by 0
- 2026REACT: Rolling Denoising and Dual Decoupling for Reactive Robot Control with VLA Modelscited by 0
- 2026REACT: Rolling Denoising and Dual Decoupling for Reactive Robot Control with VLA Models8 Oct 2026
- 2026ReCAT: Remember, Count, and Time: Structured Recurrent Memory for Robot Manipulation28 Sep 2026
- 2026VLN on the Fly: An Onboard Vision-Language Navigation Stack for Aerial Robots7 Aug 2026
- 2026ASCII Art Turns LLMs into VLA Controllers19 Jun 2026
- 2026From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation12 May 2026
- 2026ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning11 Feb 2026
- 2025EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI1 Dec 2025
- 2025SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding21 Nov 2025
- 2025ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems8 Oct 2025
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