6 papers
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…
A Closed-Loop Multi-Agent System Driven by LLMs for Meal-Level Personalized Nutrition Management
Muqing Xu
Personalized nutrition management aims to tailor dietary guidance to an individual's intake and phenotype, but most existing systems handle food logging, nutrient analysis and reco…
AstraNav-Memory: Contexts Compression for Long Memory
Botao Ren, Junjun Hu, Xinda Xue +5
Lifelong embodied navigation requires agents to accumulate, retain, and exploit spatial-semantic experience across tasks, enabling efficient exploration in novel environments and r…
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…
CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation
Kai Yang, Tianlin Zhang, Zhengbo Wang +4
Generalizing local navigation policies across diverse robot morphologies is a critical challenge. Progress is often hindered by the need for costly and embodiment-specific data, th…
OmniNav: A Unified Framework for Prospective Exploration and Visual-Language Navigation
Xinda Xue, Junjun Hu, Minghua Luo +7
Embodied navigation presents a core challenge for intelligent robots, requiring the comprehension of visual environments, natural language instructions, and autonomous exploration.…