// HACKER NEWS — CYBERSECURITY
HomeBody: A humanoid that explores, remembers, and acts on its own
Clean up all of the coffee bags and put them in the middle, and throw away all of the milk and orange juice cartons that have gone bad.
Cleaning the kitchen means deciding what to keep, what to throw away and how to move each object to the right place. HomeBody gathers the coffee bags on the island and discards the specified cartons, coordinating repeated trips, grasps and placements across the room. Its view changes with every move, so memory and action feedback help it track what is done and what still needs attention.
I forgot my medicine, can you get it for me? Also throw out the bad carton while you are at it.
The medicine is initially out of view. HomeBody uses stored keyframes to locate the drawer, retrieves the medicine, hands it to the person, and then discards the carton. Across the room, it uses the right hand to grasp the drawer handle and open the drawer, then the left hand to discard the carton. Selecting between the two arms lets it access targets on both sides of the body.
Grasp and lift the object selected in the ego image.
Visually align with the handle, hook it, and walk backward to open the drawer.
Reach into an open drawer and lift the selected object clear of its edge.
Follow a planned route to a location in the Real2Sim map.
Connect a learned policy, a classical algorithm or another controller through the shared interface. HomeBody’s VLM can chain it with existing skills to carry out new tasks.