activity
20242026
most citedSocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation

1 citations · 1 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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.RO2025

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.RO2025★ 1 cited

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.RO2025

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…

cs.RO2025

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.…