> Moravec’s paradox is the observation by artificial intelligence and robotics researchers that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources. The principle was articulated by Hans Moravec, Rodney Brooks, Marvin Minsky, and others in the 1980s.
I have a name for it now!
I've said over and over that there are only two really hard problems in robotics: Perception and funding. A perfectly perceived system and world can be trivially planned for and (at least proprio-)controlled. Imagine having a perfect intuition about other actors such that you know their paths (in self driving cars), or your map is a perfect voxel + trajectory + classification. How divine!
It's limited information and difficulties in reducing signal to concise representation that always get ya. This is why the perfect lab demos always fail - there's a corner case not in your training data, or the sensor stuttered or became misaligned, or etc etc.
I have a name for it now!
I've said over and over that there are only two really hard problems in robotics: Perception and funding. A perfectly perceived system and world can be trivially planned for and (at least proprio-)controlled. Imagine having a perfect intuition about other actors such that you know their paths (in self driving cars), or your map is a perfect voxel + trajectory + classification. How divine!
It's limited information and difficulties in reducing signal to concise representation that always get ya. This is why the perfect lab demos always fail - there's a corner case not in your training data, or the sensor stuttered or became misaligned, or etc etc.