5 Robot Trends to Watch for in 2016 the autonomous car should take into account

5 Robot Trends to Watch for in 2016 the autonomous car should take into account

Will this year mark the first drone delivery, or the first time you encounter a robot at work or in your home? We saw significant advancements in robotics and artificial intelligence in 2015 (see “What Robots and AI Learned in 2015”). Here’s what we’re watching closely in 2016.

China’s robot revolution

The world’s largest economy has embarked on an audacious effort to fill its factories with advanced manufacturing robots. The government of China hopes this will help the country retain its vast manufacturing industry as workers’ wages rise, and manufacturing becomes more efficient and technologically advanced around the world (see “China Wants to Replace Millions of Workers with Robots”). The project will require robots that are significantly more advanced and cost-efficient, and the economic and technological ripples could be felt around the world.

China is no stranger to technology-driven upheaval, of course, and it has already invested heavily in robot technology (see “Robots Rising” and “Migrant Workers in China Face Competition from Robots”). However, the scale of its new robot revolution will be remarkable. The province of Guangdong, the heartland of Chinese manufacturing, has already promised to invest $154 billion in installing robots. The founder of Foxconn, a company that employs vast armies of workers who make devices such as Apple’s iPhone, has said that his company will install more than a million robots in the next few years.

Expect to see signs that this bold endeavor is either working or faltering, and clues to what it might mean for the rest of the world, in the coming year.

Smarter learning

Robots have always been very effective for precise, repetitive work, but for the most part they’re also dumb as rocks. This is why robots are traditionally used only in carefully designed settings. It also explains why they cannot easily adapt to a new task, and cannot cope with an unfamiliar or uncertain situation. Things are changing, however, thanks to new techniques and algorithms that are enabling robots to learn much more quickly and effectively.

There are various methods for enabling robot learning, and some are already producing very promising results in research labs around the world (see “Robot Toddler Learns to Stand by Imagining It, “Robots Learn to Make Pancakes from WikiHow Articles,” and “A Master Algorithm Lets Robots Teach Themselves to Perform Useful Tasks”).

One approach in particular could be poised to have a big impact in industrial robotics. Deep learning, which uses large simulated neural networks, has already proven indispensable for training robots to understand the contents of images, video, and audio. Some companies now aim to use the approach to train robots how to see, grasp, and reason (see “A Supercharged System to Teach Robots New Tricks in Little Time”).

Knowledge sharing

Another trend to look out for this year is robots sharing the knowledge they have acquired with other robots. This could accelerate the learning process, instantly allowing a robot to benefit from the efforts of others (see “Robots Quickly Teach Each Other to Grasp New Objects”). What’s more, thanks to clever approaches for adapting information to different systems, even two completely different robots could teach each other how to recognize a particular object or perform a new task (see “Robots Can Now Teach Each Other New Tricks”).

read more : https://www.technologyreview.com/s/545056/5-robot-trends-to-watch-for-in-2016/