What makes a pool cleaning robot know where to go?

When a pool robot starts its cycle, it doesn't just move around randomly. Thanks to technological advances, these devices are now able to map their environment, optimise their movements and adapt their behaviour to each type of pool. High-end models such as the Beatbot AquaSense 2 Ultra even incorporate advanced AI technology called HybridSense™ AI, which combines an on-board camera, smart sensors and optimisation algorithms. The result? A smart, structured and complete cleaning programme, with no forgotten areas or unnecessary movements. 

HybridSense™: on-board vision to map the pool

The HybridSense™ technology integrated into the Beatbot AquaSense Pro and Ultra robots is based on a unique combination of gyroscopic sensors, digital compass and, above all, an on-board camera. The camera allows the robot to analyse the shape of the pool, detect walls, stairs, obstacles and even the waterline. In just a few minutes, the robot creates a precise 3D map of the pool and determines the best cleaning route.

Unlike more basic models that move randomly, Beatbot robots use this data to plan an efficient, methodical and non-redundant route. Each area is cleaned thoroughly, without ever going over the same spot twice. The HybridSense™ AI system doesn't just map the area: it analyses the condition of the pool in real time. If the robot detects a higher concentration of debris in a specific area (leaves, sand, insects), it automatically adjusts its speed, suction power and the number of passes. This dynamic adaptability allows for customised cleaning with each use. This is what sets the Beatbot models apart from competing robots such as those from Aiper or certain Dolphin models, which apply a fixed pattern that is not very responsive to actual conditions. The AquaSense 2 Ultra, on the other hand, knows exactly where to go, how to get there and when to focus on certain areas.

Saving time, energy and performance

By optimising its route from the very start of its operation, a robot equipped with a system like HybridSense™ significantly reduces cycle time. It avoids unnecessary movements, consumes less battery power and can therefore cover larger pools on a single charge. This energy efficiency is especially valuable during intensive usage.

With up to 3 hours of battery life, the AquaSense 2 Pro and Ultra models are capable of cleaning complex pools in a single cycle. Their smart route choices also help preserve the motors, brushes and filters, extending their lifespan.

Complete coverage, even in difficult areas

Not all swimming pools are rectangular and easy to clean. Stairs, submerged decks, nooks and curves: all of these are challenges that only smart robots like Beatbot can tackle. Thanks to their on-board camera and AI, they recognise these complex areas and adapt their cleaning strategy to cover them without missing a spot. This ensures uniform cleaning from bottom to waterline, without human intervention. Even areas near nozzles, spotlights or corners are effectively cleaned.

Perfect synergy with the iSkim Ultra for the surface

While the AquaSense robot cleans the bottom and walls, the iSkim Ultra—Beatbot's autonomous solar skimmer—manages the surface. Thanks to its own floating smart system, it captures leaves, pollen and insects before they sink. Together, they create an intelligent ecosystem that guarantees impeccable cleaning from top to bottom, day after day.

The remote-controlled robot offers customised maintenance

Choosing a remote-controlled pool robot means opting for ultra-personalised maintenance that is fast and perfectly suited to your lifestyle. With the Beatbot AquaSense Pro, Ultra or AquaSense 2 Pro models, you benefit from the ideal combination of cutting-edge technology, extended battery life, smart connectivity and ease of use. Thanks to integrated Wi-Fi, you can control your robot even when you are away. Whether at home or elsewhere, your pool remains under control, clean and ready for use. Beatbot redefines connected cleaning... and puts you in charge.
Published on 01/04/2025
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