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

In recent years, the integration of large language models (LLMs) has revolutionized the field
of robotics, enabling robots to communicate, understand, and reason with human-like …

Scalable annotation approaches are crucial for constructing extensive 3D-text datasets,
facilitating a broader range of applications. However, existing methods sometimes lead to …

Large-scale endeavors like and widespread community efforts such as Open-X-Embodiment
have contributed to growing the scale of robot demonstration data. However, there is still an …

Grounding the reasoning ability of large language models (LLMs) for embodied tasks is
challenging due to the complexity of the physical world. Especially, LLM planning for multi …

Reward engineering has long been a challenge in Reinforcement Learning (RL) research,
as it often requires extensive human effort and iterative processes of trial-and-error to design …

Large Language Model (LLM) based agents have garnered significant attention and are
becoming increasingly popular. Furthermore, planning ability is a crucial component of an …

Recent works have been exploring the scaling laws in the field of Embodied AI. Given the
prohibitive costs of collecting real-world data, we believe the Simulation-to-Real (Sim2Real) …

The realization of universal robots is an ultimate goal of researchers. However, a key hurdle
in achieving this goal lies in the robots' ability to manipulate objects in their unstructured …

The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning
from automation towards general embodied Artificial Intelligence (AI). Adopting foundation …