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!