Advancements in generative AI from chipmaker Nvidia (NVDA) are turbocharging the speed in which humanoid robots learn and emulate human tasks. What used to take hundreds of hours of data collection and programming has been reduced to a matter of hours. Backed by high-powered chips and GPU’s, robotics companies like Austin-based Apptronik are teaching their humanoid robot Apollo through a process called tele-operation. Using a VR headset and hand controls operated by a human, Apollo can collect data on a wide range of general purpose tasks, creating a mental model with the ultimate goal of having the ability to function like humans.

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