Vision language models (VLMs) have shown impressive capabilities across a variety of
tasks, from logical reasoning to visual understanding. This opens the door to richer …

As large language models (LLMs) evolve, their integration with 3D spatial data (3D-LLMs)
has seen rapid progress, offering unprecedented capabilities for understanding and …

Multimodal language models (MLLMs) are increasingly being implemented in real-world
environments, necessitating their ability to interpret 3D spaces and comprehend temporal …

Multimodal large language models (MLLMs) equip pre-trained large-language models
(LLMs) with visual capabilities. While textual prompting in LLMs has been widely studied …

Robotic simulation today remains challenging to scale up due to the human efforts required
to create diverse simulation tasks and scenes. Simulation-trained policies also face …

In robotic object manipulation, human preferences can often be influenced by the visual
attributes of objects, such as color and shape. These properties play a crucial role in …

Multimodal language models (MLLMs) are increasingly being applied in real-world
environments, necessitating their ability to interpret 3D spaces and compre-hend temporal …