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1. Mobile manipulation research tools for roboticists

   Python 1.2k 154

3. An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes.

   Python 611 43

4. Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.

   C++ 86 24

5. Integrated task and motion planning using grounded actions learned from observing expert demonstrations.

   C++ 6

6. MATLAB code for learning primitive actions from human demonstrations and using these for planning complex tasks, applied to levels of the Needle Master android game.

   MATLAB 2