YaCuAi | How does innovation "steal" cleaners' work?

How does innovation "steal" cleaners' work?

How does innovation "steal" cleaners' work?
In this article, we have focused on the technical innovation of our project. We will tell you the secret about how our project solves the problems from the last article and why it is innovative.

The innovation of the project is focused on adapting for cleaning purposes the usual concepts of industrial automation and numerical program control (CNC) of machine tools and robotic complexes, where the result is controlled by a person and the process by a machine.

The project foresees the necessary application of static cleaning (read: processing) programs-routes that are predetermined with respect to the beginning of the execution and absolutely fixed on the ground - instead of the mentioned use of movement patterns and calculation of routes instantly, when the robot is given a certain self-will. It is also foreseen to use a system of absolute navigation of the driven robot, aimed at ensuring the required position, given by the basic trajectory of the work program, and as accurately as possible to follow such a trajectory. Working off obstacles and other non-stationary conditions of motion is carried out by a temporary route, which steps back from the main motion program and substitutes it invisibly for the executive algorithms.

As the main system of absolute navigation, the project includes the use of technologies of autonomous real-time positioning systems with Real-time locating systems (RTLS) - its market instances - followed by the development of its own algorithms for data extraction and processing for the purposes of dynamic absolute navigation. Our team's market research of such systems at the start of the project found that producers of such products intended such systems overwhelmingly for the purposes of access control, external surveillance and control.

Some teams, to our knowledge, that have attempted to adapt RTLS technologies for unmanned purposes have stated the difficulty of solving and insufficient suitability of such systems for this purpose (example), nevertheless our results in this direction ( uncovered later) in particular techniques and findings in the so-called data fusion give better performance and examples.