Part 6/8:
Despite these advancements, a significant challenge remains: teaching robots to perceive their environment accurately across diverse settings. For example, a robot tasked with picking up a coffee cup must be able to recognize all kinds of cups—differing in shape, size, material, and context. To achieve this level of versatility, robots need vast and varied datasets to learn from, far exceeding the amount of data readily available on the internet for language models like ChatGPT.