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Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use

Paper recorded by Signals 4 on 2026-10-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.AI · 人工智能 · first seen 2026-10-22

Abstract

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 rais

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#206 most recent of 960 cs.AI papers we have recorded · ↑ newer: Quant-Arena: Benchmarking LLM Agents for Quantitative Trading Research · ↓ older: Asymmetric On-Policy Distillation Learns In-Context Exploration
Cite this page: Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use: the #206 most recent of 960 cs.AI papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multimodal-embodied-agents-a-unified-capability-centric-perspective-from-compute.html
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