Decoding and working principlesSLAM is an abbreviation for Simultaneous Localization and Mapping, which translates to “simultaneous localization and mapping”. It is a technology that allows the robot to:
understand where it is at the current moment;
simultaneously create a map of its surroundings;
adjust its route of travel in real time;
avoid obstacles and unexpected objects.
Without SLAM, a robot simply moves according to a programmed scenario and is unable to respond adequately to changes. With SLAM, it becomes intelligent and autonomous - able to make decisions without human intervention.
Why you need a robot with lidar and cameras in cleaning
An autonomous cleaning robot equipped with SLAM 360° can be used in a variety of environments:
Shopping centers and supermarkets, where the environment is constantly changing: carts, customers, product display;
Airports and train stations, where there is a high flow of people and architectural obstacles;
Warehouses and logistics centers, where there are many corridors and moving objects;
Offices and business centers, where high quality and regularity of cleaning is required.
A simple robot cannot handle these tasks, but a robot with SLAM navigation adapts instantly.
Benefits of SLAM 360° in real-world use
Waybot robot users report that SLAM 360° technology provides:
Dense cleaning coverage without skips - up to 99.8% area coverage;
Time savings - the route is automatically optimized;
Reduced collision risks - less damage to furniture and interiors;
Confident operation in complex geometry - zigzag corridors, passageways, columns.
Thanks to telemetry, you can see at any time how and where the robot worked, which zones it passed, how much time it spent and which obstacles it bypassed.
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Setup and launch: how SLAM navigation is enabled
The process of implementing a robot with SLAM 360° consists of several steps:
Creating a 3D map of the room - the robot takes measurements and maps the facility;
Setting up cleaning zones - prioritized routes and task frequency are determined;
Calibrating sensors and markers - to ensure accurate georeferencing in space;
Launch and training - the robot “learns” to take routes as efficiently as possible;
Monitoring via the cloud - reporting on routes, coverage and deviations is available.
The whole process takes 1-2 days and does not require disconnecting the object from work. After that, the robot is ready for daily autonomous cleaning.
Development prospects: what's next after SLAM 360°Waybot Robotics is not resting on its laurels. We are already developing:
SLAM with recognition of surface types (tile, linoleum, carpet);
Visual SLAM with recognition of QR-markers and AR-objects;
Models with deep self-learning and self-correction of routes.
This will allow the robots to fully adapt to non-standard rooms and work without intervention even in challenging environments.