arXiv 2609.23038 · cs.AI · 2026-09-19
Spatial-Interactor: Learning Spatial Reasoning through Interaction with the Observable Physical World
Kaixiang Yao, Xu Wang, Miao Pan, Hu Xiyue, Jiaxin Li, Weishi Wang, Daniel Dahlmeier, Jintao Chen and 5 more
ZJU-OmniAI
In latest · #152 Added on 2026-10-21
One-line takeaway
Spatial-Interactor trains VLM spatial reasoning on observation-action-observation interaction trajectories.
Spatial-Interactor 用“观察-动作-新观察”的交互轨迹训练视觉语言模型的动态空间推理。
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Topics & disciplines
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- S-Space: Exploring Spatial Workspace in Multimodal Language Models ▲270
- UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement ▲266
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.