This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …

Synthesizing semantic-aware, long-horizon, human-object interaction is critical to simulate
realistic human behaviors. In this work, we address the challenging problem of generating …

We propose CG-HOI the first method to address the task of generating dynamic 3D human-
object interactions (HOIs) from text. We model the motion of both human and object in an …

Humanoid robots have great potential to perform various human-level skills. These skills
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …

In this work we propose a learning-based approach to box loco-manipulation for a
humanoid robot. This is a particularly challenging problem due to the need for whole-body …

We present a physics-based character control framework for synthesizing human-scene
interactions. Recent advances adopt physics simulation to mitigate artifacts produced by …

Humanoid robots hold great promise in assisting humans in diverse environments and
tasks, due to their flexibility and adaptability leveraging human-like morphology. However …

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 …

Humanoid robots are designed to perform diverse loco-manipulation tasks. However, they
face challenges due to their high-dimensional and unstable dynamics, as well as the …

This paper addresses new methodologies to deal with the challenging task of generating
dynamic Human-Object Interactions from textual descriptions (Text2HOI). While most …