CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
On the map: LLM reasoning → Spatial and embodied reasoning
also in 2 more
Abstract (arXiv)
Vision-language-action models (VLAs) have shown potential in leveraging pretrained vision-language models and diverse robot demonstrations for learning generalizable sensorimotor control. While this paradigm effectively utilizes large-scale data from both robotic and non-robotic sources, current VLAs primarily focus on direct input--output mappings, lacking the intermediate reasoning steps crucial for complex manipulation tasks. As a result, existing VLAs lack temporal planning or reasoning capabilities. In this paper, we introduce a method that incorporates explicit visual chain-of-thought (CoT) reasoning into vision-language-action models (VLAs) by predicting future image frames autoregressively as visual goals before generating a short action sequence to achieve these goals. We introduce CoT-VLA, a state-of-the-art 7B VLA that can understand and generate visual and action tokens. Our experimental results demonstrate that CoT-VLA achieves strong performance, outperforming the state-of-the-art VLA model by 17% in real-world manipulation tasks and 6% in simulation benchmarks. Project website: https://cot-vla.github.io/
Key facts. Cited by 440 papers in the map (data through 7 Oct 2026). Placed in Spatial and embodied reasoning, one of 17 directions in LLM reasoning. Builds on 79 of its 84 references that are in the map. First posted on arXiv 27 Mar 2025.
Builds on
79 of 84 references.
Closest ancestors · 6
Same direction, newest first
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- 2024Robotic Control via Embodied Chain-of-Thought Reasoning11 Jul
- 2024Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance22 May
- 2024SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities22 Jan
- 2023Language to Rewards for Robotic Skill Synthesis14 Jun
- 2023EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought24 May
Other references · 73
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- 2023Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Actioncited by 301
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- 2021Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasetscited by 248
- 2023Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?cited by 215
- 2024Deep Compression Autoencoder for Efficient High-Resolution Diffusion Modelscited by 209
- 2023Any-point Trajectory Modeling for Policy Learningcited by 207
- 2018RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitationcited by 202
50 most cited of 73 All 73 (JSON)
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Citing papers per year: 2025: 161; 2026: 279.
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- 2025π0.5: a Vision-Language-Action Model with Open-World Generalizationcited by 1,653
- 2025V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planningcited by 738
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50 most cited of 440 All 440 (JSON)
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- 2026Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent Lookahead29 Sep 2026
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50 newest of 440 All 440 (JSON)
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- 2025Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Modelcited by 125
- 2025GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Datacited by 120
- 2025OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoningcited by 105
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- 2026Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent Lookahead29 Sep 2026
- 2026LexiconVLA: Learning Reusable Atomic Action Codebooks for Unseen Tasks29 Sep 2026
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- 2026D2-VLA: Dual-Memory Dual-Frequency Vision-Language-Action Model For Long Dynamic Manipulation28 Sep 2026
- 2026Alignment-Guided Flow Transformer for Efficient Vision-Language-Action Policy Learning28 Sep 2026
- 2026FailPatch: Failure Residual Patching for Vision-Language-Action Models28 Sep 2026
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12 newest of 202 All 202 (JSON)
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12 most cited of 71 All 71 (JSON)
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12 newest of 71 All 71 (JSON)
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12 most cited of 50 All 50 (JSON)
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12 most cited of 44 All 44 (JSON)
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