In this video TUM-James is shown simulating the shopping task, bringing the groceries home and placing them to the places they are meant to be stored in.
It uses 3D perception algorithms from PCL in order to detect object candidates in the storage rack and ODUfinder system to recognize them. Grasping and manipulation of the shopping basket is done using James's haptic capabilities. Finally, to infer where do the objects belong to, TUM-James queries KnowRob system and computes the maximum WUP similarity (aka relatedness) to the other objects in the kitchen's ontology.
Video and editing: Michael Karg ( http://www.michikarg.de )
Is that an xbox kinect on top of it's head?
laursenskate3 8 months ago