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From the 2 of 9 linked papers with an AI index.

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9 papers

cs.CV2026

ReflectVLN: Training Vision-Language Navigation Agents with Reflective Reasoning

Jiahang Wang, Yirong Yang, Yanqing Zhu +4

The paper introduces ReflectVLN, a vision-language navigation framework that uses separate intention and execution agents to iteratively decompose tasks, reflect on progress, and g…

cs.CV2026

ABot-N1: Toward a General Visual Language Navigation Foundation Model

Ruiyan Gong, Yingnan Guo, Junjun Hu +44

The paper presents ABot-N1, a visual‑language navigation foundation model that separates high‑level reasoning from low‑level control via a slow‑fast architecture and pixel‑based go…

cs.CV2026

Explore Like Humans: Autonomous Exploration with Online SG-Memo Construction for Embodied Agents

Xu Chen, Shichao Xie, Zhining Gu +7

Constructing structured spatial memory is essential for enabling long-horizon reasoning in complex embodied navigation tasks. Current memory construction predominantly relies on a…

cs.CV2026

AstraNav-World: World Model for Foresight Control and Consistency

Jintao Chen, Junjun Hu, Haochen Bai +11

Embodied navigation in open, dynamic environments demands accurate foresight of how the world will evolve and how actions will unfold over time. We propose AstraNav-World, an end-t…

cs.RO2026

NavForesee: A Unified Vision-Language World Model for Hierarchical Planning and Dual-Horizon Navigation Prediction

Fei Liu, Shichao Xie, Minghua Luo +4

Embodied navigation for long-horizon tasks, guided by complex natural language instructions, remains a formidable challenge in artificial intelligence. Existing agents often strugg…

cs.RO2026

SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation

Ziyi Chen, Yingnan Guo, Zedong Chu +14

Embodied navigation that adheres to social norms remains an open research challenge. Our SocialNav is a foundational model for socially-aware navigation with a hierarchical "brain-…