Part 2/12:
Traditionally, robot training involves gathering vast datasets tailored to each individual task and environment. Whether it’s a robot learning to pick objects, clean an area, or manipulate tools, each scenario demands its own custom data collection. As a result, creating a single versatile robot capable of managing multiple tasks in unpredictable settings has remained elusive, limiting robots to narrow functionalities.