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#artificial intelligence Preprint Sep 2026

From Pixel to Poses: Object-centric Tool Manipulation Learning from Human Demonstrations

P2P-T is introduced, from Pixel to Poses for Tool Manipulation, a data-efficient, object-centric framework that learns tool use directly from human demonstrations and achieves a 73% improvement over the previous state of the art in execution performance on complex, real-world tool manipulation tasks that currently rema...

Bang-Jun Wang, Long-Yan Wu, Yu-Kun Wei et al. · 0 citations
Preprint Aug 2026

SpatioLM: Towards General Physical Spatial Intelligence in Vision-Language Models

This work designs a plug-and-play and non-invasive spatio-vision module that elicits the spatial knowledge inherent in VLMs and innovatively leverage pseudo depth and camera information as supervision to guide the model in learning physically coherent representations.

Jing Wu, Jianhua Wu, Jiayi Guan et al. · 0 citations

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