4 citations · 17 across the 8 of their papers we have counts for
5 papers · 1 filter
ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination
Teng Wang, Xinxin Zhao, Wenzhe Cai +1
Visual navigation is a fundamental capability for autonomous home-assistance robots, enabling long-horizon tasks such as object search. While recent methods have leveraged Large La…
ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination
Xinxin Zhao, Wenzhe Cai, Likun Tang +1
Visual navigation is an essential skill for home-assistance robots, providing the object-searching ability to accomplish long-horizon daily tasks. Many recent approaches use Large…
DGMem: Learning Visual Navigation Policy without Any Labels by Dynamic Graph Memory
Wenzhe Cai, Teng Wang, Guangran Cheng +2
In recent years, learning-based approaches have demonstrated significant promise in addressing intricate navigation tasks. Traditional methods for training deep neural network navi…
Robust Navigation with Cross-Modal Fusion and Knowledge Transfer
Wenzhe Cai, Guangran Cheng, Lingyue Kong +2
Recently, learning-based approaches show promising results in navigation tasks. However, the poor generalization capability and the simulation-reality gap prevent a wide range of a…
Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill
Wenzhe Cai, Siyuan Huang, Guangran Cheng +4
Zero-shot object navigation is a challenging task for home-assistance robots. This task emphasizes visual grounding, commonsense inference and locomotion abilities, where the first…