Understanding how humans cooperatively rearrange household objects is critical for VR/AR
and human-robot interaction. However, in-depth studies on modeling these behaviors are …

This paper enables real-world humanoid robots to maintain stability while performing
expressive motions like humans do. We propose ExBody2, a generalized whole-body …

Learning generic skills for humanoid robots interacting with 3D scenes by mimicking human
data is a key research challenge with significant implications for robotics and real-world …

Recent advances in motion diffusion models have enabled spatially controllable text-to-
motion generation. However, despite achieving acceptable control precision, these models …

This research delves into the problem of interactive editing of human motion generation.
Previous motion diffusion models lack explicit modeling of the word-level text-motion …

Previous humanoid robot research works treat the robot as a bipedal mobile manipulation
platform, where only the feet and hands contact the environment. However, we humans use …

Animating human-scene interactions such as pick-and-place tasks in cluttered, complex
layouts is a challenging task, with objects of a wide variation of geometries and articulation …

Automatic fall recovery is a crucial prerequisite before humanoid robots can be reliably
deployed. Hand-designing controllers for getting up is difficult because of the varied …