Mov.ai’s primary offering is a robotic engine platform built on top of an industry leading robotics open source middleware application, ROS.
As technology has advanced in the field of robotics, the robotics ecosystem has begun to move into production ready services for deployment on a large scale. ROS, however, was designed by PhD students and has been primarily used by researchers. It is only recently that ROS has started being used in industrial automation as a foundation on top of which developers of mobile robots can build automation applications. Furthermore, the ROS workflow is designed for an experimental development situation. The main premise of ROS is for use in development environments rather than deployment. Therefore, Mov.ai set out to develop an application which enhances the ROS framework through the implementation of an interface which wraps around ROS and provides the end-to-end workflow management required to create state-of-the-art, highly complex robotic processes via a simple, and intuitive interface.
The company’s offering is designed to accelerate the development of any robot, to facilitate the deployment of large fleets of robots and applications, and to enable long-term support of field-deployed robots. Through its innovation, the company has developed an industry-grade operating system and fleet management that changes mobile machines into autonomous intelligent collaborative robots for universal commercial use. Achieved through decoupling hardware from software, Mov.ai simplifies field implementation testing processes for end-users. Furthermore, it enables non-technical users to leverage ROS through their intuitive and dynamic visual launch system which enables ‘Drag & Drop’ practices when developing neural networks for applications or autonomous material handling machines.
This offering is truly groundbreaking for the robotics ecosystem: It allows robot manufacturers to focus on developing unique, differentiating features. It provides off-the shelf, easy to customize development modules such as localization, navigation, data driven decision making, task management, versioning, simulation, deployment tools, and monitoring and debugging tools. It provides the ability to easily upgrade robots and fleets, as well as the ability to control multiple types of robots in a single site. All of this leads to the development of robots in an integrated and secure environment, demonstrating high first-time success rates and making deployments easier than ever before.
