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

Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a
burgeoning initiative to harness LLMs for instruction following robotic navigation. Such a …

Embodied agents equipped with GPT as their brain have exhibited extraordinary decision-
making and generalization abilities across various tasks. However, existing zero-shot agents …

Vision-and-Language Navigation (VLN) has gained increasing attention over recent years
and many approaches have emerged to advance their development. The remarkable …

Large language models (LLMs) have achieved superior performance in powering text-
based AI agents, endowing them with decision-making and reasoning abilities akin to …

The concept of world models has garnered significant attention due to advancements in
multimodal large language models such as GPT-4 and video generation models such as …

Embodied agents equipped with GPT as their brain have exhibited extraordinary thinking
and decision-making abilities across various tasks. However, existing zero-shot agents for …

Vision-and-language navigation (VLN) enables the agent to navigate to a remote location in
3D environments following the natural language instruction. In this field, the agent is usually …

LLM-based agents have demonstrated impressive zero-shot performance in vision-
language navigation (VLN) task. However, existing LLM-based methods often focus only on …

Embodied Instruction Following (EIF) requires agents to complete human instruction by
interacting objects in complicated surrounding environments. Conventional methods directly …