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From the 1 of 7 linked papers with an AI index.

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7 papers

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.RO2026

POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation

Ruiyan Gong, Meisheng Zhang, Yuxiang Zhao +12

Real-world navigation is fundamentally driven by Points of Interest (POIs), yet reaching a precise POI remains a critical "final-meters" challenge. Existing Vision-Language Navigat…

cs.RO2026

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation

Kai Yang, Zedong Chu, Yingnan Guo +6

While Vision-Language-Action (VLA) models have been demonstrated possessing strong zero-shot generalization for robot control, their massive parameter sizes typically necessitate c…

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.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-…

cs.RO2026

ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation

Zedong Chu, Shichao Xie, Xiaolong Wu +41

Embodied navigation has long been fragmented by task-specific architectures. We introduce ABot-N0, a unified Vision-Language-Action (VLA) foundation model that achieves a ``Grand U…