Recent large visual-language action models pretrained on diverse robot datasets have
demonstrated the potential for generalizing to new environments with a few in-domain data …

Recent developments in Large Language Models pre-trained on extensive corpora have
shown significant success in various natural language processing tasks with minimal fine …

In autonomous driving, dynamic environment and corner cases pose significant challenges
to the robustness of ego vehicle's decision-making. To address these challenges …

Learning for manipulation requires using policies that have access to rich sensory
information such as point clouds or RGB images. Point clouds efficiently capture geometric …

Language-conditioned manipulation is a vital but challenging robotic task due to the high-
level abstraction of language. To address this, researchers have sought improved goal …