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Free shipping €100
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30 day return
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Warranty 1 year
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1.178,99 € Original price was: 1.178,99 €.1.023,99 €Current price is: 1.023,99 €.
The NAC RLM-1000-APP is an autonomous robot lawn mower with an integrated AI camera for smart navigation and obstacle recognition. Designed to perform scheduled mowing and adaptive route planning, this robotic mower reduces the need for manual intervention by sensing obstacles, adjusting paths, and returning to its charging station when required. It is intended for homeowners who want automated grass cutting with sensor-driven operation and app-based controls.
The AI camera enables improved obstacle detection and dynamic route adjustments, which helps maintain a consistent mowing pattern while avoiding unexpected items on the lawn. App connectivity allows scheduling, status monitoring and remote control, while autonomous charging and adaptive route planning increase uptime and reduce oversight. Its compact design facilitates operation in medium-sized gardens and simpler storage when not in use.
This model may be less suitable for very large properties where commercial-grade cutters are required or where the terrain is extremely steep or heavily overgrown. Lawns with complex, tightly spaced obstacles or very irregular boundaries may require initial boundary setup and occasional supervision to ensure optimal performance.
Install the charging station on level ground and configure the working perimeter according to the supplied installation guide. Use the mobile app to set mowing schedules, select cutting modes and review status updates. Before first use, clear the main mowing area of small loose objects and check for areas that may need physical boundary guidance. The mower will operate autonomously following programmed schedules, avoid detected obstacles using its AI camera, and return to the charging station when battery levels are low.
For reliable operation, maintain the lawn free of loose debris, perform periodic blade and sensor checks, and keep the camera lens clean so the AI navigation can reliably detect obstacles. Regularly update the app and firmware if updates are provided to benefit from improved navigation and safety features.
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