> It is very difficult to automate, and very easy for humans to do.
Easier, but if you’ve spent time attempting to do it, you’ll agree it is not a trivial type of task by any means.
Judging the center of balance for awkwardly shaped furniture, while safely navigating the interior of a multi-level residence is not on my short list of “easy” tasks I’d sign up for on a regular basis.
In many ways, it’s a task that should benefit from automation in the future. Endurance, strength, precision, and the ability to precalculate the best available three-dimensional routes required to move a piece of furniture are all, individually, solved problems. Bringing them together with a form factor that can adapt to different environments — flooring material, stairs, etc. — and at a price point that encourages use is the challenge.
The price point is exactly the challenge. Robots to do this on the Moon, or inside nuclear power stations after an accident, will make economic sense quite soon. Robots to do this competing with a semi-skilled worker who may have substance abuse problems, a criminal record, or be undocumented (all factors which make them cheaper to employ) are not going to be seen for some time. Most desk jobs will be made obsolete before this is an automation priority.
Easier, but if you’ve spent time attempting to do it, you’ll agree it is not a trivial type of task by any means.
Judging the center of balance for awkwardly shaped furniture, while safely navigating the interior of a multi-level residence is not on my short list of “easy” tasks I’d sign up for on a regular basis.
In many ways, it’s a task that should benefit from automation in the future. Endurance, strength, precision, and the ability to precalculate the best available three-dimensional routes required to move a piece of furniture are all, individually, solved problems. Bringing them together with a form factor that can adapt to different environments — flooring material, stairs, etc. — and at a price point that encourages use is the challenge.