# SpatialScout benchmark: enabling agents to actively observe and build 3D spatial cognition

- Source: 新智元 · 微信公众号
- Published: 2026-11-01T10:19:06.000Z
- RoboHot: https://robohot.news/en/items/c9roynfubi9op9tbkkbby9lc4
- Original: https://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2652739563&idx=3&sn=ded4a80167d18ba0e5bd980b5b1055d4&chksm=f07fa23347f632820011c11043db9b05e984ad5ba91e8ce553476641883dafe75e0f5d0e9f7e&scene=126&sessionid=1793544336#rd

## Summary

Xinzhiyuan reported on the SpatialScout benchmark, which gives a camera to an AI and places it in previously unseen virtual rooms, where the model autonomously decides when to turn, move, and capture images, and submits the 3D coordinates of target objects. The formal evaluation selects 80 indoor scenes and 3,140 target instances from iTHOR, RoboTHOR, ArchitecTHOR, ReplicaCAD, and ProcTHOR, with at most 100 interaction rounds per task; scoring considers both mean IoU and the proportion of IoU above 0%, 50%, and 90%.