Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …

Trained with an unprecedented scale of data, large language models (LLMs) like ChatGPT
and GPT-4 exhibit the emergence of significant reasoning abilities from model scaling. Such …

Embodied AI aims to create agents that complete complex tasks by interacting with the
environment. A key problem in this field is embodied navigation which understands multi …

Most existing Vision-and-Language (V&L) models rely on pre-trained visual encoders, using
a relatively small set of manually-annotated data (as compared to web-crawled data), to …

Recent research in language-guided visual navigation has demonstrated a significant
demand for the diversity of traversable environments and the quantity of supervision for …

Vision-and-language navigation (VLN) aims to build autonomous visual agents that follow
instructions and navigate in real scenes. To remember previously visited locations and …

Vision-language navigation (VLN) requires an agent to navigate through an 3D environment
based on visual observations and natural language instructions. It is clear that the pivotal …

Following language instructions to navigate in unseen environments is a challenging
problem for autonomous embodied agents. The agent not only needs to ground languages …

Abstract Vision-language navigation (VLN), which entails an agent to navigate 3D
environments following human instructions, has shown great advances. However, current …

Vision-and-language navigation (VLN) enables the agent to navigate to a remote location
following the natural language instruction in 3D environments. To represent the previously …