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From the 3 of 8 linked papers with an AI index.

collaborators

8 papers

cs.CV2026

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU

Fan Jiang, Zhaoxu Sun, Mengchao Wang +38

We present ABot-World-0, an action-conditioned video world model for real-time, long-horizon closed-loop interaction, supported by a multi-source data infrastructure spanning AAA g…

cs.AI2026

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory

Jiayi Tian, Shiao Liu, Yuting Xu +31

The paper introduces ABot-AgentOS, a general operating system layer for robotic agents that adds deliberative planning, multi‑modal memory, verification, and cloud‑edge collaborati…

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

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model

Ronghan Chen, Yandan Yang, Zuojin Tang +18

Mobile manipulation is a key capability for general-purpose robots, yet remains challenging for current embodied learning methods. VLA policies are typically reactive and lack expl…

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…