One of the original stereotypes about robots is that their movements are stiff and abrupt, something that endures in the \u201crobot dance\u201d that first became popular in the 1980s. <\/p>\n
Robots have since evolved and now exhibit far more human-like qualities, with movements that have become softer and subtler. However, that has been true mostly for humanoid robots, which are a tiny minority compared to the industrial robots that have helped manufacture our goods \u2014 such as cars \u2014 for decades. <\/p>\n
Around 3 million robots work in factories around the world, with about a third of those in the automotive industry, according to an industry body. Now, a company called Micropsi Industries is looking to make even industrial robots closer to humans. \u201cWe make a control system that allows industrial robots to do things that without our software they couldn\u2019t do,\u201d says Ronnie Vuine, Micropsi\u2019s founder, \u201cwhich is essentially having hand-eye coordination and adapting to changing conditions in the environment as they do their work in a factory.\u201d <\/p>\n
The company\u2019s first product, called MIRAI, uses artificial intelligence (AI) and cameras to train robots to perform tasks that would be impossible via traditional, pre-programmed movements. <\/p>\n
Vuine became interested in AI while a student at Berlin\u2019s Humboldt University in the 2000s. \u201cThere was a working group that was interested in how machines learn in the real world when there\u2019s no engineer around to tell them what to do, but they just need to sort out and find out what to do to survive. How would you do that? So that\u2019s been our research interest.\u201d <\/p>\n
Vuine says that AI was distinctly unfashionable at the time, but when Google purchased AI company Deep Mind in 2014, it showed the team how AI had become more mainstream and was the motivation they needed to push forward. Micropsi was founded in the same year. <\/p>\n
The company is now developing its products for various brands of manufacturing robots. \u201cBy far the most advanced industry when it comes to deploying robots at scale is automotive,\u201d Vuine says. \u201cCars are the most complex artifact we make at scale as humans. We also make planes, and they\u2019re more complex, but we don\u2019t make as many of them. Cars are just the most advanced automation game we play.\u201d <\/p>\n
This opens up options for automation to carry out tasks previously handled by humans, which could prove especially useful in producing electric cars. \u201cAutomotive is moving to electric. There\u2019s much more cables to be plugged in,\u201d says Vuine. \u201cOf course, it\u2019s terribly important in electronics, where you have ribbon cables (to connect to circuit boards). All of these applications couldn\u2019t be done with robots (previously). You would have to use a human, or you couldn\u2019t do it at all, and would need to redesign your product for manufacturability.\u201d <\/p>\n
Having recently moved its headquarters from Berlin to San Francisco, the company is now looking to expand from cars to other products, like power tools and white goods, as well as other fields altogether, like logistics. In the future, the system could power humanoid robots, too. \u201cThe software that drives the robot would be very much applicable outside a factory, in a service robot that does your dishes,\u201d Vuine says. \u201cIn fact, we sometimes do playful demos that show these capabilities.\u201d <\/p>\n
The hurdle to that expansion is not the software, he adds, but robots themselves. \u201cRobots are not made of soft material like humans. They\u2019re made of metal, so it really hurts if they hit you. You need to go very slowly, and you need to put lots of safety around and lo and behold, you\u2019ve created a machine that\u2019s too expensive and too cumbersome to actually live in your home. We just haven\u2019t solved that yet.\u201d <\/p>\n<\/p>\n
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