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From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

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.CV2026

Ask When It Pays: Cost-Aware Open-Ended Interaction for Instance Goal Navigation

Xunyi Zhao, Sihao Lin, Gengze Zhou +5

Instance Goal Navigation (IGN) requires an embodied agent to find a specific object instance among distractors from an under-specified natural-language description. Such ambiguity…

cs.CV2026

IntentionNav: A Benchmark for Intent-Driven Object Navigation from Implicit Human Instruction

Lin Qian, Shijie Li, Sihao Lin +4

Existing object navigation benchmarks usually tell an embodied agent which object category to find, such as microwave or chair. Human-facing embodied AI is often asked something le…

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…

cs.RO2026

One Agent to Guide Them All: Empowering MLLMs for Vision-and-Language Navigation via Explicit World Representation

Zerui Li, Hongpei Zheng, Fangguo Zhao +5

A navigable agent needs to understand both high-level semantic instructions and precise spatial perceptions. Building navigation agents centered on Multimodal Large Language Models…