  Recently, the concept of embodied intelligence has been widely accepted and
popularized, leading people to naturally consider the potential for
commercialization in this field. In this work, we propose a specific commercial
scenario simulation, human-centered in-building embodied delivery. Furthermore,
for this scenario, we have developed a brand-new virtual environment system
from scratch, constructing a multi-level connected building space modeled after
a polar research station. This environment also includes autonomous human
characters and robots with grasping and mobility capabilities, as well as a
large number of interactive items. Based on this environment, we have built a
delivery dataset containing 13k language instructions to guide robots in
providing services. We simulate human behavior through human characters and
sample their various needs in daily life. Finally, we proposed a method
centered around a large multimodal model to serve as the baseline system for
this dataset. Compared to past embodied data work, our work focuses on a
virtual environment centered around human-robot interaction for commercial
scenarios. We believe this will bring new perspectives and exploration angles
to the embodied community.
