ManiFlow: A General Robot Manipulation Policy via Consistency Flow Training
On the map: Diffusion models → Diffusion and flow policies for robotics
Abstract (arXiv)
This paper introduces ManiFlow, a visuomotor imitation learning policy for general robot manipulation that generates precise, high-dimensional actions conditioned on diverse visual, language and proprioceptive inputs. We leverage flow matching with consistency training to enable high-quality dexterous action generation in just 1-2 inference steps. To handle diverse input modalities efficiently, we propose DiT-X, a diffusion transformer architecture with adaptive cross-attention and AdaLN-Zero conditioning that enables fine-grained feature interactions between action tokens and multi-modal observations. ManiFlow demonstrates consistent improvements across diverse simulation benchmarks and nearly doubles success rates on real-world tasks across single-arm, bimanual, and humanoid robot setups with increasing dexterity. The extensive evaluation further demonstrates the strong robustness and generalizability of ManiFlow to novel objects and background changes, and highlights its strong scaling capability with larger-scale datasets. Our website: maniflow-policy.github.io.
Key facts. Cited by 49 papers in the map (data through 14 Oct 2026). Placed in Diffusion and flow policies for robotics, one of 14 directions in Diffusion models. Builds on 40 of its 48 references that are in the map. First posted on arXiv 1 Sep 2025.
Builds on
40 of 48 references.
Closest ancestors · 11
Same direction, newest first
- 2024The Ingredients for Robotic Diffusion Transformers14 Oct
- 2024Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching11 Sep
- 2024Affordance-based Robot Manipulation with Flow Matching2 Sep
- 2024Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals8 Jul
- 2024ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation3 Jun
- 2024Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation13 May
- 2024Riemannian Flow Matching Policy for Robot Motion Learning15 Mar
- 20243D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations6 Mar
- 20243D Diffuser Actor: Policy Diffusion with 3D Scene Representations16 Feb
- 2023Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models16 Oct
- 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusion7 Mar
Other references · 29
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2020Denoising Diffusion Implicit Modelscited by 9,781
- 2022Scalable Diffusion Models with Transformerscited by 6,054
- 2022Flow Matching for Generative Modelingcited by 5,702
- 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
- 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,761
- 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,700
- 2024π0: A Vision-Language-Action Flow Model for General Robot Controlcited by 2,407
- 2023Consistency Modelscited by 1,822
- 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
- 2019Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learningcited by 1,204
- 2022Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulationcited by 551
17 more
- 2025RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulationcited by 518
- 2024Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robotscited by 394
- 2024One Step Diffusion via Shortcut Modelscited by 391
- 2023Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulationcited by 364
- 2023Vision-Language Foundation Models as Effective Robot Imitatorscited by 349
- 2023Uni3D: Exploring Unified 3D Representation at Scalecited by 237
- 2023RVT: Robotic View Transformer for 3D Object Manipulationcited by 225
- 2024Open-TeleVision: Teleoperation with Immersive Active Visual Feedbackcited by 145
- 2024RVT-2: Learning Precise Manipulation from Few Demonstrationscited by 137
- 2024Consistency Flow Matching: Defining Straight Flows with Velocity Consistencycited by 104
- 2023GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fieldscited by 99
- 2024Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learningcited by 77
- 2024RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)cited by 69
- 2023DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objectscited by 66
- 2024DNAct: Diffusion Guided Multi-Task 3D Policy Learningcited by 23
- 2024Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillationcited by 13
- 2025Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulationcited by 8
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Citing papers per year: 2025: 7; 2026: 42.
49 papers.
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By area:
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