We have developed ThinkGrasp, a plug-and-play vision-language grasping system for heavy clutter environment grasping strategies.
We develop an approach for efficient open-vocabulary language-conditioned manipulation policy learning.
We study how to ground language for robotic grasping while preserve the geometric structure of its symmetry.