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Provenance Brief
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Coordinated Humanoid Manipulation with Choice Policies

In brief:

Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs remains a major challenge.

Why this matters

New research could change how AI systems work.

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May affect how AI can be used.

We present a system that combines a modular teleoperation interface with a scalable learning framework to address this problem.

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About this source
Source
arXiv cs.AI
Type
Research Preprint
Published
Credibility
Peer-submitted research paper on arXiv

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Coordinated Humanoid Manipulation with Choice Policies

TL;DR

Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs remains a major challenge.

Quick Data

Source
https://arxiv.org/abs/2512.25072v1
Type
Research Preprint
Credibility
Peer-submitted research paper on arXiv
Published

Builder Context

Scan abstract → experiments → limitations. Also: verify benchmark methodology; note model size and inference requirements.

Full Analysis

May affect how AI can be used.

We present a system that combines a modular teleoperation interface with a scalable learning framework to address this problem.

Open receipts to verify and go deeper.

Source Verification

Source arXiv cs.AI
Type Research Preprint
Tier Primary Source
Assessment Peer-submitted research paper on arXiv
URL https://arxiv.org/abs/2512.25072v1
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