As you might know, there is a lot going with ROS, the Robot Operating System, which is robotics middleware. ROS aims to provide services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. Despite its name, ROS is not an operating system. That’s were MOV.AI comes in, providing an operating system running on top of ROS.

Let’s have a closer look at the key issues that were discussed last year at the 2018 ROS-Industrial Conference  and see how MOV.AI already addresses these trends, application highlights, and challenges

If we look at technology, we see that there are three factors that will drive robotic applications for cooperating and sharing data in larger, networked structures or ecosystems:

  • Increasing demand for flexibility in production
  • The aging world population combined with the desire for more automated services at home
  • Urbanization, which poses ever-growing challenges to logistics

MOV.AI can assist with all these three trends. Since MOV.AI is cloud-based, it makes robots for these sectors cost-effective and robust.

Applying ROS is a hot topic, especially in the field of navigation software for mobile robots. In general, IPA software runs with ROS modules on AGV that are used in automobile production to flexibly transport the car bodies from assembly station to assembly station. MOV.AI enables flexible navigation that also achieves an availability of 99 percent.

Furthermore, MOV.AI provides simpler, faster, and more reliable integration to make collaborative autonomous robots safe. This makes the complex and resource-intensive system integration for ROS-based applications simple and affordable.

Needless to say, MOV.AI meets the stringent requirements for industrial applications, providing an industry-grade operating system for autonomous robots for safety-critical applications. MOV.AI also meets Quality Assurance standards for deploying autonomous robot fleets by decoupling hardware from software. Regarding security for (ROS-based) applications, MOV.AI meets the standards and exceeds the expectations for ROS components.

In short, there is a lot going on in the ROS environment, and MOV.AI is a valuable asset for any ROS development!

For more information, contact MOV.AI at info@mov.ai or contact Ilan Weiss, CMO of MOV.AI, directly at ilan.weiss@mov.ai

Let’s start with getting rid of an urban myth. For the past few years, rumors were fueling the fear that robots would take over jobs of people, making them unemployed. This is incorrect, since automotive robots are designed to facilitate and help by taking care of tedious and repetitive tasks. The good news: the idea that such robots can liberate the workforce is slowly gaining ground.

If we look at the production side, we see that during the last five years, the price of an industrial robotic arm was about $ 80,000 on average which has since dropped to $ 15,000 – $ 25,000. Furthermore, ROS (Robot Operating System), an open-source operating system that MOV.AI to add commercial adaptations to it. This is crucial, since academic platforms such as ROS do not address issues such as how to handle a fleet of hundreds of robots or how to manage robots interacting with and working side-by-side humans in a safe manner.

In general, it will take two years and ten programmers to make the necessary adjustments to a robot before it is ready to be deployed commercially. That’s why MOV.AI decided to focus on a unique operating systems for robots (similar to Android for smartphones) to be used for intelligent and autonomous machines for logistics purposes in hospitals, factories and warehouses.

How it looks now, there will be enough other jobs for humans to fulfill that require human-to-human interaction. However, governments, educational institutions and society has to deal with the new reality.

To illustrate:  The Netherlands is already preparing to deal with people who lost their jobs because of automation. Allocating funds has to take humans, machines and artificial intelligence into consideration when allocating public funds.

Want to learn more about how to make current robots intelligent and cooperative? Contact MOV.AI!

As a robotics company, we at Mov.AI are following closely what’s hot and what’s not in the field of robotics. There are a few trends that we will keep on following closely during 2019, namely the 4th industrial revolution, the general acceptance of autonomous robots, the rising demand for industrial robots, and ROS of course.

The fourth industrial revolution is here

The Fourth Industrial Revolution explores new uses of digital technology, such as smart technology for cyber-physical systems and smart robots. During 2019, we will see that digital technology will be pushing the limits of what it can do throughout any possible field, such as robotics, AInanotechnologyquantum computingbiotechnology, IoT, 5G, 3D printing and fully autonomous vehicles. As with previous revolutions, it will have a far-reaching impact on our jobs, environment and our way of life.

Autonomous robots will become generally accepted

Governments, employees and the general public are warming up to autonomous robots doing repetitive and dangerous jobs such as fixing leaks in underground pipes and dangerous nuclear decommissioning sites. The fear that robots are out to take over jobs is put into perspective. As management consultancy firm McKinsey pointed out, workers in an “unpredictable” environment, such as gardeners, plumbers, or healthcare providers, will not be at risk in 2019 since it is technically difficult to automate those jobs. During 2019, we will see humans and automated machines working side by side in a productive and safe way.

The demand for industrial robots will keep on rising

According to the International Federation of Robotics (IFR) World Robotics Report 2018, sales of industrial robots reached a record 380,550 units in 2017. That represents a 29 percent increase over the 294,300 units sold in 2016. Not surprisingly, China experienced the largest growth (58%). Although the numbers of 2018 are not in yet, since robots have become easier and safer to use (and can even learn from each other via the cloud), the growth is expected to be even more spectacular. In 2019, we will see human-robot collaboration driving the growth of worldwide sales.

ROS will keep on making waves     

ROS primarily acts as a flexible robotics writing software that’s comprised of a collection of tools, libraries, and conventions that simplify and streamline the process of creating complex and robust robot behaviors across a wide range of platforms. It will become more prominent in 2019 enlisting powerful partner such as Microsoft in 2018.

Are there trends that you are following and would like to share? Feel free to leave a comment!

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!