mlsanityData to 14 Oct 2026

SpaceVLA: Spatially Grounded VLA for Robotic Manipulation with User-Authored Grasp and Place Anchors

arXiv 2608.05730 ↗First posted 6 Aug 2026cs.HCcited by 0

On the map: Vision-language-action models → 3D and spatial-aware VLA

Abstract (arXiv)

Vision-language-action (VLA) models follow language commands but often lack explicit spatial intent for manipulation. We present Visual Intent Anchors, an XR pipeline that lets users specify grasp and placement regions and renders them as image-space overlays for VLA control. We collect 200 Unity pick-and-place demonstrations and fine-tune OpenVLA-7B with LoRA on temporally subsampled annotated observations. The policy predicts tokenized 7-DoF incremental actions from marked RGB observations and language. We evaluate the policy in closed-loop Unity trials, achieving a grasp success rate of 91.25% and mean grasp and placement errors of 0.5 cm and 0.7 cm, respectively.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in 3D and spatial-aware VLA, one of 13 directions in Vision-language-action models. Builds on 13 of its 13 references that are in the map. First posted on arXiv 6 Aug 2026.

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13 of 13 references.

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Same direction, newest first

  1. 2025PointVLA: Injecting the 3D World into Vision-Language-Action Models10 Mar

Other references · 12

  1. 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 3,080
  2. 2024OpenVLA: An Open-Source Vision-Language-Action Modelcited by 2,887
  3. 2017Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperationcited by 289
  4. 2024Open-TeleVision: Teleoperation with Immersive Active Visual Feedbackcited by 145
  5. 2024OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulationcited by 71
  6. 2025RoboGround: Robotic Manipulation with Grounded Vision-Language Priorscited by 51
  7. 2024Bi-VLA: Vision-Language-Action Model-Based System for Bimanual Robotic Dexterous Manipulationscited by 21
  8. 2025AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Cluttercited by 20
  9. 2026VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Modelscited by 17
  10. 2026HapticVLA: Contact-Rich Manipulation via Vision-Language-Action Model without Inference-Time Tactile Sensingcited by 10
  11. 2025Shake-VLA: Vision-Language-Action Model-Based System for Bimanual Robotic Manipulations and Liquid Mixingcited by 8
  12. 2026Gaze2Act: Gaze-Conditioned Vision-Language-Action Policies for Interactive Robot Manipulationcited by 8

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  1. 2026AnchorVLA4D: an Anchor-Based Spatial-Temporal Vision-Language-Action Model for Robotic Manipulation
  2. 2026SG-VLA: Learning Spatially-Grounded Vision-Language-Action Models for Mobile Manipulation
  3. 2026VLMs are Native Action Models: Unleashing the Manipulation Capabilities of VLMs with Explicit Action-Space Grounding
  4. 2026From Knowing to Doing Precisely: A General Self-Correction and Termination Framework for VLA models
  5. 2026VeriSpace: Spatially Grounded Action Verification for Vision-Language-Action Models
  6. 2026GloVLA: Let Geometry Move and Local VLA Interact for Robust Object-Centric Manipulation in Unstructured Environments
  7. 2025Goal-VLA: Image-Generative VLMs as Object-Centric World Models Empowering Zero-shot Robot Manipulation
  8. 2026DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation