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According to a recent study of Sapiens Institute, a French think tank, robots will take over the jobs of around 2.1 French workers, mainly in the field of material handling, cashiers, machine operators, food workers and other jobs that require low skills. Although this number mind sound alarming, the researchers point out that although automation will certainly replace employees in a certain number of sectors, this will be compensated by the creation of new jobs.

A study from 2016 identified 31 jobs that are considered to be emerging. These included web marketers, e-reputation consultants, geomatics engineers, cloud engineers and virtualization experts. It should be noted that very few jobs are actually created “ex-nihilo”, but rather result from a transformation of existing jobs.

If we look at all countries, it is expected that up to 800 million global workers will lose their jobs by 2030 and be replaced by robotic automation according to the McKinsey Global Institute. McKinsey conducted a study in 46 countries looking at 800 occupations. It came to the conclusion that worldwide, one-fifth of the global work force will be affected. In richer nations such as Germany and the US, one-third of the workforce may need to retrain for other jobs.

If we look at the U.S., we see that substituting technology for workers had a positive effect; domestic manufacturing productivity roughly doubled between 1995 and 2015. It illustrates that investment in technology pays off. In South East Asia, the International Labor Organization found that more than two-thirds of Southeast Asia’s 9.2 million textile and footwear jobs will be automated.

Similar to the Industrial Revolution in the 19th century, the current revolution (dubbed the Fourth Industrial Revolution by Klaus Schwab, Founder and Executive Chairman of the World Economic Forum) will also spur economic growth and change society. It will change society freeing people from menial labor, enabling them to reach their full human potential.

TechCrunch has just published the following article about us:

“We all know what Android for smartphones is. A free, (almost) open source operating system for smartphones. But right now there is no equivalent of the “Android for robots.” Instead there are many, many proprietary systems. A new startup plans to address this problem in order for the robotics market to really take off, and for it to have a good slice of the pie.

MOV.AI plans to create an ecosystem where developers, integrators and manufacturers collaborate to develop the first industry-grade O/S for autonomous intelligent collaborative robots. This could potentially produce smarter robots on a large-scale for operation and production lines.

It’s now raised $3M in seed funding in a round led by Israel-based Viola Ventures and SF-based NFX.

MOV.AI describes itself as an ‘ROS compatible operating system’. That means it enables industry-grade deployment of fleets of autonomous robots. The idea is that this will decouple the hardware from the software (a problem in robot-land), and simpler R&D, thus making robot automation affordable for any player, large or small.

This ROS will aim to cover easier mapping, robust and autonomous navigation, obstacle avoidance, cloud-based software-distribution, compliance with safety and cybersecurity’s best practices and modern end-user interface.

The main target audiences of MOV.AI are manufacturers of material handling equipment, automation integrators, and other collaborative robot manufacturers.

Limor Schweitzer (pictured), founder and CEO of MOV.AI says: “At MOV.AI, we have made it our mission to contribute to a world where intelligent robots perform most of the common physical tasks, which will free humankind to be more creative and productive, and enable faster market scalability. In other words we will be able to transform human operated mobile machines into autonomous robots that work safely together with people and other robots in any environment at all scalable levels”.

Ronen Nir, general partner at Viola Ventures says: “We believe that the impact and potential value of MOV.AI’s ecosystem will gain traction as more large customers, distributors and developers come on board.”

MOV.AI says it is currently piloting projects with large automation integrators and industrial operators.”

The article was written by Mike Butcher @mikebutcher

You can read the original article here

Nowadays, material handling robots can automate some of the most tedious, dull, and unsafe tasks in a production line. When we look at the kinds of robots that are used in material handling, we see that there are various types especially designed to e.g., pick & place materials, palletize, package and transfer goods, load machines and assemble. To be truly efficient, forward-thinking manufacturers need a fleet of robots that can work safely together with their human co-workers. This means that those robots must work autonomously and in an intelligent manner. For example, they need to be aware of and react to obstacles that are in their way. This means that they must have “a brain”. This also applies when a manufacturer needs to refurbish (“upgrade”) his current fleet of robots.

To make those robots affordable, MOV.AI is the go-to specialist when it comes to making material handling robots intelligent. Designing and producing an intelligent autonomous robot (let alone a whole fleet of them), is time consuming and requires large investments. This makes them a pipe dream for most material handlers.

However, there is now a way to make it happen by separating the hardware from the software. That’s where MOV.AI comes into play by providing universal software for heterogeneous robot fleets. This software framework (operating system) is ROS-compatible and features easy mapping, robust, affordable and autonomous navigation, and obstacle avoidance. The modern end-user interface facilitates easy customization. By supporting cloud-based software-distribution and complying with cyber-security’s best practices, it provides the brains for mobile collaborative robots to let them operate autonomously.

All this allows for building or refurbishing robots to make them intelligent. Last but not least, the license pricing model makes material handling robots affordable

Very soon, fleets of robots will work safely alongside their human co-workers, being an integral part of the workforce. Manufacturers will be the first to tell you that both machine efficiency and human intuition are vital for optimum productivity. That’s why seeing robots as an opportunity rather than a threat makes sense.

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Cleaning robots are poised to be big business. According to a study by Markets and  Markets, the market is estimated to be worth $2.5 billion by 2020. It is a strong indication that automated sweepers, scrubbers, vacuums and burnishers will be at the forefront of creating and retrofitting automated robots. We already see that floor cleaning robots are gradually being deployed at airports, hospitals, retailers and office buildings. These machines are delivering on an important observation: autonomous robots will free humans from repetitive (and potentially dangerous) physical labor to allow them to perform other tasks.

They are made a reality thanks to the progress in sensor technology, improved battery life, GPS mapping, machine learning, artificial intelligence (AI) and data analytics. That’s where MOV.AI comes in. MOV.AI is an industry-grade operating system for autonomous robots that is already operational in material handling machines such as tugbotsand pallet truck AGVs. It provides manufactures with an industry-grade operating system to make their machines autonomous, intelligent and collaborative.

With MOV.AI’s software platform (similar to operating systems for smartphones), manufacturers will be able to develop new machines or retrofit existing ones with minimal investments and manpower. In each case, the manufacturer and MOV.AI work together to create a prototype system. This consists of an autonomous version of one of the manufacturer’s existing products by retrofitting it with computers, sensors, lasers and safety measures. Once finished, the MOV.AI software is run on it to complete the prototype. This method has proved to be successful based on MOV.AI’s experience in building prototypes for and with cart and pallet movers.

Interested to learn more?

Contact MOV.AI now!