HoloSense combines 360° LiDAR, RTK, NetRTK, and AI vision. In the M5 PRO and M9 PRO series, these information sources are used together to allow the robot to orient itself more accurately in different environmental conditions.
Sensor fusion helps in different environmental areas
The manufacturer presents HoloSense as a navigation solution that combines information from LiDAR, RTK or NetRTK, and AI vision. The purpose of these sources differs: satellite data helps determine position, laser measurements analyze environmental geometry, and cameras provide visual context. Combined, their use can assist the robot when transitioning from an open lawn to more complex areas. This is especially important when a single area features open sky, tree shade, and building corners. It is beneficial for the buyer to evaluate the system's overall performance rather than just adding up individual sensor names.
The technology name does not replace the need to verify the specific model and installation. The manufacturer associates HoloSense with the M5 Pro and M9 Pro, so this system should not be automatically attributed to every ANTHBOT robot. Check the equipment of the chosen version, the method of receiving corrections, and service terms. Obstacle recognition should also not be understood as permission to leave wires or small toys on the lawn. Map preparation, safe distances, and a clean sensor area remain important even for an advanced system. Test the new work area in practice.
How to apply this in practice?
Satellite positioning helps in open areas, LiDAR analyzes environmental geometry, and cameras recognize nearby obstacles. The essence of the system is to integrate data, rather than simply having more sensors.
- Check whether the chosen model version actually uses HoloSense.
- Clarify the installation conditions for a local base or network corrections.
- Evaluate transitions between open lawn, trees, and building areas.
- Monitor the first operation and keep the sensors clean according to the instructions.
Practical example
A yard with an open front lawn and dense trees behind the house poses different navigation challenges. The integrated system is designed to utilize multiple information sources. However, it is worth checking the practical suitability at specific corners and passages—the areas where your robot will have to work every day.
Does having more sensors mean no preparation is needed?
No. You need a proper location for the station, preparation of the work area, and settings specified by the manufacturer. Sensor fusion helps with orientation but does not eliminate all physical obstacles or the consequences of improper installation.
What is worth remembering?
This solution is relevant for gardens with shade, passages, and various work zones. Check installation requirements and the availability of connectivity services in the documentation for the specific model.
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