That goal has gotten easier in the last 10 years, mainly due to machine learning in the vision system. You can reliably train a neural net to find things in a f

That goal has gotten easier in the last 10 years, mainly due to machine learning in the vision system. You can reliably train a neural net to find things in a fridge from a depth camera. The rest of the problem: navigation, motion planning, etc. hasn't changed that much, but is definitely possible on an amateur budget. The problem with a list of "open problems in robotics" is that just about everything people have come up with has been demonstrated in a lab somewhere. Walking, grasping, manipulation, navigation, swarming, etc. But nobody has managed to combine all those capabilities in a single robot. So the remaining open problem is to solve all the individual problems with one piece of hardware and software.