In the 1930s, Canadian-Australian civil engineer Bill Taylor created the first robotic pick-and-place machine called Gargantua. This early proto-bot was a large, gangly machine that relied on hole-punched paper tape, similar to the punch cards used in early computers, for its programming. Its purpose was to pick up and stack blocks.
Gargantua was a proof of concept that didn’t see commercial use, but it previewed and influenced the automation in manufacturing that would come a few decades later. In fact, for more than forty years, robots have helped improve worker safety, streamline production, and enhance quality.
Robots are consistent, reliable, and flexible, but are not very smart. They perform exactly the tasks they’re programmed to execute, which is great when it comes to welding, cutting and other repetitive tasks. However, when it comes to picking out a typical automotive fastener from an unsorted bin of hundreds or thousands of these components, they get less like The Jetsons and more like The Flintstones.
That’s because robots have traditionally relied on precise motion programming, meaning they could only grasp objects positioned at specific heights and angles. They couldn’t adapt to the randomness of a bin full of unsorted bolts, but that’s changing thanks to developments in smart automation.