Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 52

A goal of machine learning today is to create useful, in-home robots. Now, you might be thinking of something along the lines of Rosie the robot found in The Jetsons (see https://thejetsons.fandom.com/wiki/Rosey for a quick description). However, real-world robots need to solve practical and important problems to attract attention. To become viable and attract funding, a technology must also amass a group of followers, and to do that, it must provide both interaction and ownership. According to MarketsAndMarkets (see https://www.marketsandmarkets.com/Market-Reports/household-robot-market-253781130.html), the market for home robots will go from $1.2 billion in 2016 to $3.3 billion in 2019 (estimated) to $9.1 billion by 2024 (predicted), so home robots are becoming popular.

An example of a successful in-home robot is the Roomba from iRobot (https://www.amazon.com/exec/obidos/ASIN/B005GK3IVW/datacservip0f-20/). You can actually buy a Roomba today; it serves a useful purpose; and it has attracted enough attention to make it a viable technology. The Roomba also shows what is doable at a commercial, in-home, and autonomous level today. Yes, the Roomba is a fancy vacuum cleaner — one with built-in smarts based on simple but very effective algorithms. The Roomba can successfully navigate a home, which is a lot harder to accomplish than you might think. It can also spend more time on dirtier areas of the home. However, you still need to empty the Roomba when full; current robot technology does only so much. (And, just in case you’re interested, you can also find the WORX robotic mower on Amazon at https://www.amazon.com/exec/obidos/ASIN/B07VC44C68/datacservip0f-20/.)

You can find other real-world robots that people are using to perform specialized tasks, but you won’t find them in your home. The video at https://www.youtube.com/watch?v=PfvXKXSAsUM shows 15 humanoid robots that are interesting, but not particularly useful today (still, you have to admit that they’re fun to look at). Other sites, such as https://shareably.net/70-robots-that-actually-exist/ and https://www.cnn.com/2020/09/23/asia/japan-gundam-robot-test-scli-intl-scn/index.html, present other robots, but you won’t find general-purpose uses in any of them. Before robots can enter a home and work as a generalized helper, machine learning needs to solve a wealth of problems, and the algorithms need to become both more generalized and deeper thinking. By now, you should see that robots will become a part of daily life, but it won’t happen right away.