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Yu Deng

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Preprint Sep 2026

Systematically Exploring the Capabilities of GPT-6 Astra as Embodied Policies

GPT-6 Astra exhibits a remarkable ability to generate numerical robot actions, extending its role beyond high-level planning. To assess Astra's capabilities as general-purpose embodied policies, we conduct comprehensive evaluations across six domains, examining direct control, cooperation with learned policies, and fee...

Galbot Team Xuchuan Chen, Xiao-Qi Cheng, Yu Deng et al. · 0 citations
Jul 2026

FM-VLA: Force-based Memory for Vision-Language-Action Models in Contact-Rich Manipulation

FM-VLA is proposed, a VLA model with force-based memory, enabling temporal context reasoning for non-Markovian, contact-rich manipulation, and achieves over 80% success rate with minimal inference overhead, significantly outperforming baseline approaches.

Ruicheng Li, Qi-Xiu Li, Ruichun Ma et al. · 1 citation

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