Task adaptation of Vision-Language-Action model: 1st Place Solution for the 2025 BEHAVIOR Challenge
On the map: Vision-language-action models → Failure recovery and robustness
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Abstract (arXiv)
We present a vision-action policy that won 1st place in the 2025 BEHAVIOR Challenge - a large-scale benchmark featuring 50 diverse long-horizon household tasks in photo-realistic simulation, requiring bimanual manipulation, navigation, and context-aware decision making. Building on the Pi0.5 architecture, we introduce several innovations. Our primary contribution is correlated noise for flow matching, which improves training efficiency and enables correlation-aware inpainting for smooth action sequences. We also apply learnable mixed-layer attention and System 2 stage tracking for ambiguity resolution. Training employs multi-sample flow matching to reduce variance, while inference uses action compression and challenge-specific correction rules. Our approach achieves 26% q-score across all 50 tasks on both public and private leaderboards.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Placed in Failure recovery and robustness, one of 13 directions in Vision-language-action models. Builds on 17 of its 25 references that are in the map. First posted on arXiv 7 Dec 2025.
Builds on
17 of 25 references.
References · 17
- 2017Attention Is All You Needcited by 59,932
- 2022Flow Matching for Generative Modelingcited by 5,426
- 2023Sigmoid Loss for Language Image Pre-Trainingcited by 3,048
- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 2,993
- 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,730
- 2024π0: A Vision-Language-Action Flow Model for General Robot Controlcited by 2,297
- 2022RT-1: Robotics Transformer for Real-World Control at Scalecited by 2,007
- 2025π0.5: a Vision-Language-Action Model with Open-World Generalizationcited by 1,653
- 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardwarecited by 1,490
- 2025GR00T N1: An Open Foundation Model for Generalist Humanoid Robotscited by 1,167
- 2024PaliGemma: A versatile 3B VLM for transfercited by 679
- 2025FAST: Efficient Action Tokenization for Vision-Language-Action Modelscited by 643
5 more
- 2025SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Roboticscited by 507
- 2025Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Modelscited by 216
- 2025Real-Time Execution of Action Chunking Flow Policiescited by 199
- 2024BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulationcited by 140
- 2025A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulationcited by 125
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Citing papers per year: 2026: 13.
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- 2026G0.5: One Autoregressive Stream for Robot Reasoning and Actioncited by 17
- 2026OAT: Ordered Action Tokenizationcited by 14
- 2026Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latentscited by 8
- 2026How VLAs (Really) Work In Open-World Environmentscited by 3
- 2026SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulationcited by 2
- 2026EmbodiedSWE: Coding Agents for Long Horizon Dexterous Roboticscited by 2
- 2026Make Your VLA More Robust Without More Data By Interleaving Motion Planningcited by 1
- 2026Potential-Guided Flow Matching for Vision-Language-Action Policy Improvementcited by 1
- 2026Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)cited by 0
- 2026A Glimpse into Long-term Physical Coexistence with Intelligent Robotscited by 0
- 2026Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Taskscited by 0
- 2026Spatial Grafting: Grounding 3D Features for Flow-Matching Robot Policiescited by 0
- 2026The Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface28 Sep 2026
- 2026Spatial Grafting: Grounding 3D Features for Flow-Matching Robot Policies28 Sep 2026
- 2026EmbodiedSWE: Coding Agents for Long Horizon Dexterous Robotics23 Sep 2026
- 2026Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Tasks31 Aug 2026
- 2026G0.5: One Autoregressive Stream for Robot Reasoning and Action12 Aug 2026
- 2026A Glimpse into Long-term Physical Coexistence with Intelligent Robots13 Jul 2026
- 2026Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)25 Jun 2026
- 2026Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latents22 Jun 2026
- 2026SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulation11 Jun 2026
- 2026Potential-Guided Flow Matching for Vision-Language-Action Policy Improvement3 Jun 2026
- 2026Make Your VLA More Robust Without More Data By Interleaving Motion Planning31 May 2026
- 2026How VLAs (Really) Work In Open-World Environments23 Apr 2026
1 more
- 2026OAT: Ordered Action Tokenization4 Feb 2026
- 2026G0.5: One Autoregressive Stream for Robot Reasoning and Actioncited by 17
- 2026How VLAs (Really) Work In Open-World Environmentscited by 3
- 2026SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulationcited by 2
- 2026Make Your VLA More Robust Without More Data By Interleaving Motion Planningcited by 1
- 2026Potential-Guided Flow Matching for Vision-Language-Action Policy Improvementcited by 1
- 2026Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Taskscited by 0
- 2026The Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interfacecited by 0
- 2026The Layer Mystery of VLA: An Information-Theoretical Analysis of VLA Latent Interface28 Sep 2026
- 2026Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon Tasks31 Aug 2026
- 2026G0.5: One Autoregressive Stream for Robot Reasoning and Action12 Aug 2026
- 2026SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile Manipulation11 Jun 2026
- 2026Potential-Guided Flow Matching for Vision-Language-Action Policy Improvement3 Jun 2026
- 2026Make Your VLA More Robust Without More Data By Interleaving Motion Planning31 May 2026
- 2026How VLAs (Really) Work In Open-World Environments23 Apr 2026
Similar, not cited
Close in wording, no citation either way
- 2026Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies
- 2026Action Draft and Verify: A Self-Verifying Framework for Vision-Language-Action Model
- 2026AC^2-VLA: Action-Context-Aware Adaptive Computation in Vision-Language-Action Models for Efficient Robotic Manipulation
- 2026VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation Prediction
- 2026LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
- 2026Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines
- 2025SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models
- 2026Quantile Head for Vision-Language-Action Models