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ABot-N1: Toward a General Visual Language Navigation Foundation Model
Ruiyan Gong, Yingnan Guo, Junjun Hu +43
Visual Language Navigation foundation models aim to unify deep reasoning for grounded spatial decisions with broad versatility for diverse embodied tasks. Current approaches typica…
ReflectVLN: Training Vision-Language Navigation Agents with Reflective Reasoning
Jiahang Wang, Yirong Yang, Yanqing Zhu +4
Existing vision-language navigation methods often couple a VLM with waypoint decoders to produce multi-step action plans, but they typically lack an explicit closed-loop mechanism…
PRPO: Perception-Reinforced Policy Optimization via Token-Level Dynamic Advantage Reshaping
Qiming Li, Tianlun Li, Xiaolong Cheng +5
Reinforcement Learning with Verifiable Rewards (RLVR) has become an effective paradigm for improving the reasoning capability of Large Vision-Language Models (LVLMs). However, exis…
ABot-OCR Technical Report
Kaitao Jiang, Ruiyan Gong, Xiaolong Cheng +3
We introduce ABot-OCR, an end-to-end vision-language model that transcribes a page image directly into clean Markdown in a single forward pass. By doing so, our approach completely…
ProSR: Process-Shaped Spatial Reasoning for Reliable Chain-of-Thought in VLMs
Jiangyang Li, Cong Wan, Changjie Wu +8
Reliable spatial reasoning remains a core bottleneck for vision-language models (VLMs). Existing mainstream training paradigms for spatial reasoning largely rely on outcome alignme…
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…
Bridging the Indoor-Outdoor Gap: Vision-Centric Instruction-Guided Embodied Navigation for the Last Meters
Yuxiang Zhao, Yirong Yang, Yanqing Zhu +6
Embodied navigation holds significant promise for real-world applications such as last-mile delivery. However, most existing approaches are confined to either indoor or outdoor env…
Nav- Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation
Wentao Xiang, Haokang Zhang, Tianhang Yang +10
Object-goal navigation in open-vocabulary settings requires agents to locate novel objects in unseen environments, yet existing approaches suffer from opaque decision-making proces…
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…