mlsanityData to 7 Oct 2026

MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots

arXiv 2511.17889 ↗First posted 22 Nov 2025cs.RO cs.CVcited by 15

On the map: Vision-language-action models → Reasoning and chain-of-thought in VLA

Abstract (arXiv)

Grounding natural-language instructions into continuous control for quadruped robots remains a fundamental challenge in vision language action. Existing methods struggle to bridge high-level semantic reasoning and low-level actuation, leading to unstable grounding and weak generalization in the real world. To address these issues, we present MobileVLA-R1, a unified vision-language-action framework that enables explicit reasoning and continuous control for quadruped robots. We construct MobileVLA-CoT, a large-scale dataset of multi-granularity chain-of-thought (CoT) for embodied trajectories, providing structured reasoning supervision for alignment. Built upon this foundation, we introduce a two-stage training paradigm that combines supervised CoT alignment with GRPO reinforcement learning to enhance reasoning consistency, control stability, and long-horizon execution. Extensive evaluations on VLN and VLA tasks demonstrate superior performance over strong baselines, with approximately a 5% improvement. Real-world deployment on a quadruped robot validates robust performance in complex environments. Code: https://github.com/AIGeeksGroup/MobileVLA-R1. Website: https://aigeeksgroup.github.io/MobileVLA-R1.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Placed in Reasoning and chain-of-thought in VLA, one of 13 directions in Vision-language-action models. Builds on 68 of its 71 references that are in the map. First posted on arXiv 22 Nov 2025.

Builds on

68 of 71 references.

References · 68

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38 more
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  1. 2025CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
  2. 2025Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification
  3. 2026Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models
  4. 2026DualCoT-VLA: Visual-Linguistic Chain of Thought via Parallel Reasoning for Vision-Language-Action Models
  5. 2026FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies
  6. 2026Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control
  7. 2026VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
  8. 2026CoTinyVLA: Chain-of-Thought Distillation for a Sub-Billion-Parameter Vision-Language-Action Model