---
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canonical_url: "https://aidr.today/90da9080?lang=en"
title: "DexForesight: Grounding Dexterous Policies with Implicit Spatial Foresight"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-11-11T00:00:00.000Z"
category: "Research"
topics: ["agent"]
source_urls: ["https://huggingface.co/papers/2611.11166"]
summary: "DexForesight is a framework that learns spatial foresight implicitly for dexterous manipulation. It injects dynamics-aware world representations into the latent space of a dexterous policy. DexForesight learns an action-conditioned spatial world model from offline scene depth, kinematic hand geometry, and demonstration trajectories."
---

# DexForesight: Grounding Dexterous Policies with Implicit Spatial Foresight

> [Open the canonical story](<https://aidr.today/90da9080?lang=en>)

**Published:** 2026-11-11T00:00:00.000Z
**Category:** Research
**Topics:** agent

## Summary

DexForesight is a framework that learns spatial foresight implicitly for dexterous manipulation\. It injects dynamics\-aware world representations into the latent space of a dexterous policy\. DexForesight learns an action\-conditioned spatial world model from offline scene depth, kinematic hand geometry, and demonstration trajectories\.

## Sources

- [Story source](<https://huggingface.co/papers/2611.11166>)