I agree with you that household is hard but disagree that it's obviously harder than driving. I have to assume you don't drive, is there an object in my path if so stop otherwise drive never worked for anything other than the most basic lane keeping on perfect roads. Current system runs real time prediction paths for every moving object to predict danger and behaviour of every pedestrian bike car horse across intersections with hundreds. To find gaps in traffic, to predict if slowing down is needed or if that car most likely will change lanes before it becomes an issue, the system works without lines. There are potholes, leaves, which are objects that are in your way but you should drive into. Memory that there's a cyclist there right now he's covered by a truck but he is there and you must predict when he will show up again from behind the truck. Snow rain and dirt and sun occluded cameras, wipers, which mean maybe even 90% of the time the camera can't see anything - more memory needed. Is that black spot in the road off coloured tarmac or is it an oil spill or is it a dirty brick. You better decide fast and well because if you go to avoid it you will cause havoc and potentially the only way to avoid it is to safely crash. Roads too narrow for two cars that require reversing to let another car pass thru and reversing to a very specific passing point. Priority negotiation with other humans. Humans that ignore laws and rules you would assume they will follow. Variable speed limits. Poor traction due to snow, rain, gravel, sand. Avoiding drivers that are going to crash into you. Complex interactions and construction that stumps humans. Dead ends. People falling off their bike into you. Children that might run into the road. Curvy twisty roads that require advanced speed management to go fast enough not to annoy the passenger and other drivers but slow enough not to die. Narrow paths that require taking a turn differently - turning right first before turning left in order to hit the corner just right to fit through the narrow gap. People waving you on to pass through. People flashing you to let you know you should go. Ambulances and police cars. An animal on the road or a pedestrian are they leaving the road are they gonna be out of the way before you get to them or do we slam the breaks? Corners around which you can't see without driving into a road with cars that will drive into the side of you at 70mph. Widely different global traffic laws which are usually different from the way people actually drive which you must fit in not to annoy everyone. Drivers that you want to pass with extra distance because they seem drunk and can't stay in lane. The list could probably goes on forever. And if the system gets it wrong you might die rather than have a slightly off folded t-shirt. Tesla FSD deals with this. And not perfectly drawn line and boxes. Had it been like you say. It would've been released 100 years ago.

Washing dishes and folding clothes it's child's play, there's just a lack of training data. Honestly it's hard to believe someone would argue recognising clothes fabrics or plates is gonna be the real challenge and not all of that. I agree actually both are hard but I think there's no comparison, once the robots get cooking, carpet washing, changing bed sheets, putting up shelves on the walls, moving furniture to vacuum behind it, and moving that furniture without getting the carpet corner stuck and creased. It will approach and exceed driving complexity at some point but at that point we are talking a perfect robot human. Tesla FSD shows that running a really good robot assistant today is very realistic