Yanzhe Chen, Ziyi Yang, Jifeng Zhu, Qiming Huang, Ruihe An, Peiyao Xu, Hesen Yang, Runda Liu · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30108 · open-access PDF
Multimodal agents (MMAs) mempertahankan interaksi melalui pemikiran, memori, alat, dan umpan balik, yang paling terlihat sebagai agen penggunaan komputer, sementara sistem robotik (RSs) pasangan sensing dan tindakan di bawah dinamika fisik. Kami mendefinisikan agen multi-modal embodied (MMEAs) sebagai sistem yang ditargetkan tujuan yang menggabungkan pertimbangan tugas multimodal dengan tindakan fisik dan meninjau keputusan dari umpan balik yang dihasilkan. Ini menimbulkan pertanyaan sentral: apa yang berubah ketika agen multimodal bergerak dari penggunaan komputer ke penggunaan robot? Kami memperkenalkan PAPAV, kerangka kerja kapasitas-sentris yang bersatu dari lima fungsi berulang: Perhatikan c
Machine translation (Meta M2M100); the English original follows.
Multimodal agents (MMAs) sustain interaction through reasoning, memory, tools, and feedback, most visibly as computer-use agents, while robotic systems (RSs) couple sensing and actuation under physical dynamics. We define multimodal embodied agents (MMEAs) as goal-directed systems that couple multimodal task reasoning with physical action and revise decisions from the resulting feedback. This raises a central question: what changes when a multimodal agent moves from computer-use to robot-use? We introduce PAPAV, a unified capability-centric framework of five recurring functions: Perceive the c
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