Intrinsic: Alphabet invents new AI robot company

The intrinsic purpose is to bring advances in artificial intelligence to industrial robots on a large scale. Even small companies will be able to easily integrate robotics technology into their processes in the future – although individual operations require a complex sensory sense, in fact human work until now.

Google has found parent company Alphabet, an intrinsic company specializing in software for industrial robots. Intrinsic is the X-Alphabet Incubator, a spin-off for particularly promising and often high-risk projects.

According to his own reports, insider boss Wendy Dan White wants to use his new company to “tap the creative and economic potential of industrial robots for millions of companies, founders and developers.”

“Special programmers can perform hundreds of hours of programming robots performing specific tasks, such as welding two pieces of metal or gluing an electronics package together,” writes Don White.

Complex tasks such as inserting plugs or laying cables are currently not possible for robots because they do not have the necessary sensors or software to understand their environment. Intrinsic wants to change it.

Artificial intelligence is the intrinsic center

Like its sister company Google, intrinsic Artificial intelligence At the forefront: The company’s robot software uses techniques from the fields of automated vision, in – depth learning, reconnaissance learning, motion planning, simulation and mandatory control for robots.

“Over the past few years, our team has been exploring how industrial robots can recognize, learn and adapt automatically so they can work in a wide range of environments and applications,” writes Dan White.

According to Don White, the underlying technological foundations have been laid in the blanket of X over the past five and a half years. Now the company is ready to step into independence.

Two hours of AI training instead of hundreds of hours of programming work

Dan White describes a robot AI with force sensors learned in two hours to reliably connect three different types of power cables to a circuit board. Otherwise this task would mean “hundreds of hours” of programming work.

Another example shows robot weapons learned through AI training and the use of sensor data to assemble simple furniture.

Don White writes that such demanding tasks for robots are not yet realistic or automated. There are “millions of examples of this in the business world”. The use of industrial robots can reduce the time, cost and problem “seriously” and can help with problems and increase the diversity of products that can be produced.

Dan White describes the fact that more companies can use machines instead of people for environmental and economic benefit: Currently, ten countries produce 70 percent of the world’s goods, which increases emissions to transport. In addition, there will be 2.1 million vacancies in industrial production in the United States by 2030.

In recent years, Google’s own AI department has repeatedly shown plans to improve the performance of robots in everyday life, for example Service and Maintenance Robots Or a Dog robots learn to walk from videos. Google provided one with Roble Benchmark for robots trained in simulation In front.

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Intrinsic: Alphabet invents new AI robot company Last modified: July 23, 2021 Issued by Matthias Bastian