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From the 1 of 20 linked papers with an AI index.

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20242026
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cs.RO2026

Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation

Jian Zhou, Xunyi Zhao, Gengze Zhou +4

The paper investigates using general-purpose language models as autonomous embodied agents for zero-shot vision-and-language navigation, showing that with only a monocular RGB came…

cs.RO2026

Automating the Design of Embodied Agent Architectures

Jian Zhou, Sihao Lin, Jin Li +3

Embodied agents are typically built as hand-designed compositions of perception, memory, planning, and action modules. This modularity exposes a large architectural design space, b…

cs.RO2026

Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System

Jiazhao Zhang, Gengze Zhou, Hale Yin +32

Agentic navigation systems require a base navigation model whose observation strategy can be externally reconfigured at inference time, because instruction following, object search…

cs.RO2026

Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Haoqi Yuan, Zhixuan Liang, Anzhe Chen +20

Foundation models in language and multimodality achieve strong generalization by aligning heterogeneous data under a unified formulation and training at scale. In this report, we i…

cs.RO2026

Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments

Qiuyue Wang, Mingsheng Li, Jian Guan +37

Embodied intelligence is often studied through specialized models for individual tasks such as manipulation or navigation, resulting in fragmented capabilities and limited generali…

cs.RO2026

Decoupled Action Expert: Confining Task Knowledge to the Conditioning Pathway

Jian Zhou, Sihao Lin, Shuai Fu +3

Many recent Vision-Language-Action models employ diffusion or flow-matching backbones with hundreds of millions of parameters for action generation. However, unlike image synthesis…