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Li-He Ding

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#artificial intelligence Review Oct 2026

Physical AI: Concepts, Techniques, and Challenges

This monograph seeks to define physical AI, present its technical landscape, and examine each key technical subfield in depth, and establishes a unified framework for Physical AI: artificial systems that perceive, model, and act upon the physical world through continuous feedback under real-world constraints.

Wei-Nan Zhang, Chun-Hua Shen, Tian-Fan Xue et al. · 0 citations
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
Preprint Aug 2026

RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills

The RoboSynChallenge competition introduces a unified benchmark to evaluate and advance the generalizability of manipulation policies across a spectrum of tasks, environments, and difficulty levels and aims to foster the development of broadly capable, data-efficient, and adaptable manipulation systems, thereby paving...

Runyi Zhao, Rui-Han Wu, Cheng-Kun Li et al. · 0 citations

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