Abstract 6D object pose estimation is crucial in the field of computer vision. However, it
suffers from a significant lack of large-scale and diverse datasets, impeding comprehensive …

We introduce Dream2Real, a robotics framework which integrates vision-language models
(VLMs) trained on 2D data into a 3D object rearrangement pipeline. This is achieved by the …

Intelligent agents need to autonomously navigate and interact within contextual
environments to perform a wide range of daily tasks based on human-level instructions …

Welfare support systems involving robots have been actively researched during the last two
decades. Early attempts have been largely based on classical approaches to process …

We study the task of language instruction-guided robotic manipulation, in which an
embodied robot is supposed to manipulate the target objects based on the language …

The development of general robotic systems capable of manipulating in unstructured
environments is a significant challenge. While Vision-Language Models (VLM) excel in high …