Mastering Robot Vacuum Navigation: A Comprehensive Guide

Jan 14, 2025
Mastering Robot Vacuum Navigation: A Comprehensive Guide - Narwal Robotics

Robot vacuum navigation determines how effectively your device can clean your home. If you’re wondering how these machines know where to go, avoid obstacles, or resume cleaning after charging, this guide will walk you through every step of the process. From real-time mapping to smart charging, we explain how modern robot vacuums clean with precision.

We start by showing how Narwal robot vacuums navigate your home using advanced LiDAR systems and intelligent path planning. You’ll learn how mapping works, how cleaning routes are optimized, and how real-time obstacle detection ensures smooth movement around furniture, cables, and clutter. We also cover charging behavior and how the robot resumes cleaning from the exact spot it paused.

The guide also explores user customization options like room-based scheduling, no-go zones, voice commands, and adaptive features like dirt sensing and mop lifting. If your vacuum runs into trouble, we provide practical tips to troubleshoot navigation issues and share proven ways to improve cleaning performance through better setup and routine maintenance.

 

How Do Narwal Robot Vacuums Navigate Your Home

Narwal robot vacuums use advanced navigation technologies to clean your home precisely and efficiently. From the moment they begin a cleaning cycle, these robots scan, map, detect, and adjust to your home environment. Understanding how they work can help you get the most out of your vacuum.

Take the Narwal Freo Z Ultra as an example. It uses a tri-laser LiDAR system to create real-time 3D maps of your home. The robot scans its surroundings in 360 degrees, instantly recognizing walls, doorways, furniture, and other obstacles. These detailed maps allow it to plan the most efficient cleaning path room by room. If your home has multiple floors, the robot can store separate maps for each level and switch between them when moved.

[cta:narwal-freo-z-ultra-robotic-vacuum-and-mop-cleaner-clean-before-you-even-notice]

Once the mapping is complete, the robot begins cleaning in a matrix pattern—first horizontally, then vertically. This ensures thorough coverage of every surface. The Freo Z Ultra detects floor types and automatically lifts its mop when it moves over carpet, preventing wet messes. You can use the app to create no-go zones, schedule cleanings for specific rooms, or tell the robot where to start cleaning next.

During cleaning, the robot constantly scans for unexpected obstacles. For example, Narwal robots can detect small items like socks or cables and steer around them without stopping. This keeps the cleaning process smooth and uninterrupted. Some models also include DirtSense™ technology, which monitors how dirty the floor is and continues mopping until the surface is clean.

When the battery runs low, the robot returns to its dock to recharge. After charging, it resumes cleaning from where it stopped. This allows it to complete the entire task, even in large homes, without missing any spots.

Narwal’s navigation systems combine smart hardware and intelligent software. The robots not only learn your home’s layout but adapt to it over time. Whether you have complex room shapes, pets, or mixed flooring, Narwal robots adjust in real time to deliver efficient, hands-free cleaning.

Mapping and Map Updates

Robot vacuum mapping systems help your device clean with accuracy and efficiency. In this section, you’ll learn how Narwal vacuums scan your home, create detailed multi-room maps, and update them as your space changes. We’ll also explain how smart mapping supports better navigation and how to manage maps across multiple floors. For a deeper dive, check out our full guide to robot vacuum mapping.

A sleek, modern living room featuring a robotic vacuum cleaner navigating the floor, demonstrating its cleaning path with a highlighted area.

Mapping for Multi-Room and Multi-Level Homes

When you set up a Narwal robot vacuum, it first scans your home using LiDAR or visual SLAM technology. It builds a detailed floor plan, recognizing the layout, walls, and large furniture. This map is then used to divide your home into logical rooms or zones, allowing the robot to follow an optimized route instead of moving randomly.

Narwal vacuums like the Freo Z Ultra and Freo S are equipped to handle complex spaces. They can clean one room at a time, follow specific zone orders, and ensure no area is missed. For homes with multiple floors, these vacuums can store several separate maps. Once placed on a different floor, the robot automatically detects the change and switches to the correct map.

Multi-map support is especially helpful in:

  • Duplex or multi-level homes with stairs

  • Homes with different cleaning needs on each floor

  • Large homes with closed-off guest rooms or seasonal spaces

  • Families with kids or pets where high-traffic zones need more frequent cleaning

Each saved map can include no-go zones and custom room names. This lets you direct your robot to clean the kitchen only after meals or skip the baby’s room during nap time.

A minimalist, two-story home model showing a robotic vacuum cleaner on the lower level.

Keeping the Map Updated

Homes change often. You might move furniture, add a rug, or rearrange a room. Narwal robot vacuums are built to adapt. Their maps can be updated automatically or manually to reflect these changes.

During each cleaning session, the robot continues to scan the environment. If it detects differences, like a new obstacle or layout change, it updates the map incrementally. This allows the robot to keep cleaning without interruption.

For major changes—such as moving to a new home or adding large furniture—you can use the app to initiate a full remapping. In this mode, the robot focuses on scanning the space rather than cleaning. After the new map is generated, you can adjust room labels, set cleaning zones, and define restricted areas.

A robotic vacuum cleaner next to a smartphone displaying its control app.

Tips to Maintain an Accurate Map

  • Start the first mapping run in a well-lit and tidy space

  • Keep doors open so the robot can scan as much as possible

  • Avoid moving the robot manually during mapping

  • Clean the sensors regularly to ensure accurate detection

  • Save the map once it's complete and back it up if your app allows

An accurate, updated map ensures your robot vacuum cleans smarter. It avoids wasting time on repeated areas, skips trouble zones, and follows the most efficient path across every floor.

 

Systematic Cleaning and Smart Paths

Systematic cleaning paths help robot vacuums clean faster and more thoroughly. Instead of moving randomly, Narwal robot vacuums follow smart, structured routes based on real-time maps. This section explains how systematic cleaning works, why it’s better than random cleaning, and how Narwal’s dual-pass logic ensures full floor coverage.

A robotic vacuum cleaner navigating and cleaning a carpeted floor.

How Systematic Cleaning Works

Narwal robots like the Freo Z Ultra and Freo X Ultra use a matrix-style cleaning pattern. After mapping the space, the robot cleans each room in two passes—first horizontally, then vertically. This cross-grid path ensures that dust, debris, and pet hair are picked up thoroughly.

Unlike older models that might bounce around or skip areas, these vacuums plan their route in real time. They begin from one edge of a room and progress methodically across it. If they encounter furniture or other obstacles, they navigate around and return to their planned path. This ensures no corner is missed and no area is cleaned twice unnecessarily.

The cleaning sequence typically follows this structure:

  1. Detect the cleaning zone based on the saved map

  2. Plan a back-and-forth route based on room shape and furniture layout

  3. Clean the area in a horizontal sweep

  4. Switch direction to perform a vertical sweep for deeper coverage

Narwal’s system can automatically adjust based on the room. For example, it may switch to a spiral pattern in a small or confined space. This flexible logic helps the robot adapt while maintaining a structured approach.

Two robotic vacuum cleaners navigating and cleaning a floor, with highlighted cleaning paths.

Benefits of Systematic Cleaning

Systematic cleaning offers several practical advantages:

  • Efficiency:By avoiding random movement, the robot cleans faster and uses less battery

  • Thoroughness:Each inch of the floor is covered with minimal overlap or gaps

  • Predictability:You can anticipate where the vacuum is, making it easier to avoid interference

  • Reduced wear:Smoother movements mean fewer bumps and less wear on furniture and the robot itself

This method is especially useful for large homes, open spaces, or rooms with a lot of traffic. With a defined cleaning path, the robot avoids repeating areas it already cleaned and finishes the job in less time.

Cleaning Modes That Support Smart Paths

Narwal vacuums offer cleaning modes that work hand in hand with their systematic path logic:

  • Room-specific cleaning:Select one or more rooms to be cleaned in a session

  • Spot cleaning:Target a specific area for intensive cleaning

  • Edge cleaning:Follow the wall edges and baseboards for detailed dust removal

These modes are accessible via the app and help you focus on high-priority areas or daily messes without running a full-house cycle.

Robotic vacuum cleaner cleaning along the edge of a room with wooden floors.

Handling Challenging Layouts

Even with smart paths, some homes present navigation challenges. Narwal vacuums use adaptive algorithms to stay on track.

  • For rooms with irregular shapes or complex layouts, the robot maps extra waypoints to stay oriented

  • In cluttered spaces, it reduces speed and recalculates paths in real time

  • On different floor types, such as tile to rug, the robot slows down and adjusts traction to stay aligned

Together, these technologies make systematic cleaning a reliable solution for real-world environments, not just ideal layouts. Learn how to program a robot vacuum’s cleaning path to get the most efficient performance in every room.

 

Real-time Obstacle Avoidance

Robotic vacuum cleaner navigating around toys and obstacles on a floor.

One of the most impressive features of modern robot vacuums is their ability to avoid obstacles in real time. These vacuums can detect and navigate around furniture, pets, and other obstacles using sensors and cameras. This means fewer bumps and a more efficient cleaning process. Some advanced models can even recognize specific objects, like socks or cables, and avoid them altogether.

How Real-Time Obstacle Avoidance Works

Real-time obstacle avoidance is achieved through a combination of advanced technologies that allow the robot vacuum to detect and respond to obstacles as they are encountered. Here's how it works:

Sensors

Robot vacuums employ a variety of sensors that help them navigate your home. These sensors include:

  • Infrared Sensors: Infrared sensors emit infrared light and measure the reflection of this light off of objects. When the vacuum approaches an object, the reflected infrared light signal changes, indicating the presence of an obstacle. This allows the vacuum to slow down and adjust its path to avoid a collision.
  • Ultrasonic Sensors: Similar to infrared sensors, ultrasonic sensors emit ultrasonic waves. They bounce off obstacles and return to the sensor. By measuring the time it takes for the waves to return, the vacuum can determine the distance to the obstacle. Ultrasonic sensors are particularly effective for detecting larger objects and walls.
  • Bumper Sensors: These are physical sensors located on the edges of the vacuum. When the vacuum bumps into an obstacle, the bumper sensor triggers, signaling the vacuum to stop, back up, and change direction. Bumper sensors are a fail-safe mechanism, ensuring that the vacuum can respond to obstacles even if other sensors fail to detect them.
  • Cliff Sensors: Cliff sensors prevent robot vacuums from falling down stairs or off ledges. They emit infrared signals towards the ground. If the signal is reflected back, it means the surface is continuous. No reflection or a delayed return signals a drop-off, prompting the vacuum to change its path. These sensors are located on the bottom edges of the vacuum.

Cameras

Some high-end robot vacuums use cameras to capture images of their surroundings. These cameras work in conjunction with visual recognition software to identify and avoid obstacles. Camera-based systems provide several advantages:

  • Image Recognition: The camera keeps taking pictures of the vacuum's surroundings. And the vacuum’s onboard computer processes these images in real time to identify obstacles like furniture, toys, and small items like socks or cables.
  • Depth Perception: By using multiple cameras or a single camera with depth-sensing technology, the vacuum can estimate the distance to various objects, allowing for more precise navigation.
  • Dynamic Environment Adaptation: Cameras allow the vacuum to adapt to changes in the environment. For example, if you move a chair or leave a new object on the floor, the vacuum can recognize and navigate around it without getting stuck.
Robotic vacuum cleaner operating in a dark environment with illuminated sensors.

Algorithms

Sensors and cameras collect data, and it is processed by the vacuum’s onboard computer using advanced algorithms. These algorithms play a critical role in real-time obstacle avoidance:

  • Data Fusion: The algorithms combine data from multiple sensors and cameras to comprehensively understand the environment. This process, known as sensor fusion, improves the accuracy and reliability of obstacle detection.
  • Path Planning: Once an obstacle is detected, the algorithms calculate the best path to avoid it. This involves determining the optimal direction and speed for the vacuum to take, ensuring it navigates around the obstacle smoothly.
  • Learning and Adaptation: Some robot vacuums use machine learning algorithms to improve their obstacle avoidance capabilities over time. By learning from past experiences, these vacuums can better predict and react to obstacles, enhancing their overall efficiency and effectiveness.

Advanced Obstacle Recognition

Some of the latest robot vacuums come equipped with advanced object recognition capabilities. Using machine learning and AI, these vacuums can identify and categorize different types of obstacles. For example, they can distinguish between a sock and a piece of furniture and take appropriate action to avoid each type of object.

Benefits of Real-time Obstacle Avoidance

Real-time obstacle avoidance offers several key benefits:

  • Efficiency: By avoiding obstacles, the vacuum can clean more efficiently and quickly. It won’t waste time getting stuck or having to stop and restart due to collisions.
  • Protection of Belongings: Real-time obstacle avoidance helps protect your furniture and other belongings from accidental bumps and scratches. This is especially important for delicate items and low-hanging decorations.
  • Reduced Maintenance: Avoiding obstacles reduces the likelihood of the vacuum getting tangled or blocked, which can save you time and effort in maintenance. It also helps prolong the life of the vacuum by preventing damage to its sensors and components.

Enhanced Navigation Features

Advanced robot vacuums offer additional features that enhance their navigation and obstacle-avoidance capabilities:

  • Virtual Boundaries: Many vacuums allow you to set virtual boundaries, also known as no-go zones, through their companion apps. These boundaries tell the vacuum where it can and cannot go, helping to avoid areas with many obstacles or delicate items.
  • Automatic Adjustments: Some vacuums can automatically adjust their cleaning settings based on surface type or the amount of debris detected. This adaptability ensures optimal performance on different surfaces and in various cleaning scenarios.

Automatic Charging and Resumption

Robot vacuum charging and auto resume features allow your device to clean larger areas without stopping. In this section, you’ll learn how Narwal vacuums detect low battery, return to the dock, recharge, and continue cleaning from where they paused. This ensures full coverage even during long or multi-room cleaning sessions.

Robotic vacuum cleaner returning to its charging station on a wooden floor.

How It Works

During cleaning, the robot constantly monitors its battery level. When it drops below a safe threshold, the robot pauses its task and navigates back to the charging dock. Narwal vacuums use a combination of saved maps and infrared docking signals to find the most efficient route home. Once docked, they align automatically with the charging pins.

After charging is complete, the vacuum retrieves its cleaning history and resumes exactly where it stopped. You don’t need to restart or reset the session. This resume function ensures that no area is missed, even across multiple rooms or floors.

For more details on the charging process, see our guide on how to charge your robot vacuum. If your robot ever struggles to dock, visit what to do if your robot vacuum fails to find its dock for solutions.

Why It Matters

Automatic charging and resumption help ensure consistent cleaning results, especially in larger homes or when you use deeper cleaning modes. Without this feature, a robot might stop mid-task and leave areas unfinished.

Narwal vacuums like the Freo Z10 Ultra and Freo S offer extended battery life and smart power management. These models can clean for over 2 hours on a single charge. If they run out of power before finishing, they will return to the dock, recharge, and continue cleaning without repeating already cleaned zones.

This function is especially helpful for:

  • Homes with multiple rooms or floors

  • High-traffic areas that require extra time to clean

  • Scheduled sessions that run while you’re away

  • Users who prefer hands-off operation without daily intervention

Robotic vacuum cleaner docking at its station in a modern living room.

Smooth, Uninterrupted Cleaning

With map memory, route planning, and automatic resumption working together, your robot vacuum always knows where it’s going and what’s left to clean. It saves time, avoids battery waste, and gives you full floor coverage every time.

For best performance, keep the docking station in an open area and free of clutter. Clean the charging contacts regularly, and ensure the robot’s firmware stays up to date for the most accurate docking behavior


User Customization and Smart Features

Robot vacuum customization lets you take control of how and when your home is cleaned. In this section, you'll learn how Narwal vacuums let you set cleaning zones, schedule tasks, avoid certain areas, and use smart features like voice control and dirt-level detection for a fully personalized cleaning experience.

Set Cleaning Zones and No-Go Areas

In the Narwal app, you can easily divide your home into rooms and define custom cleaning zones. This gives you full control over where the robot cleans.

You can also set no-go zones to keep the robot out of areas with delicate items, pet bowls, or cable clutter. Just tap and draw virtual boundaries on the map, and the robot will avoid those spaces automatically.

Robotic vacuum cleaner avoiding a play area with toys on a wooden floor.

Schedule by Time, Room, or Mode

Narwal vacuums let you schedule cleanings in ways that match your lifestyle. You can:

  • Clean the kitchen every night after dinner

  • Mop the hallway and living room before guests arrive

  • Vacuum bedrooms in the morning while the house is empty

  • Set a full-house clean every Sunday afternoon

You can customize time, target area, and cleaning mode in each scheduled task. Some models, like the Freo Z Ultra, support automatic adjustments based on past usage and dirt levels.

Use Voice Control for Quick Commands

Narwal vacuums work with smart home systems like Google Assistant and Amazon Alexa. With simple voice commands, you can start, pause, or direct the robot without opening the app. For example:

  • “Start cleaning the living room”

  • “Pause vacuum”

  • “Send the robot back to the dock”

Voice control is useful when your hands are full or you’re in another room.

Screenshots of a robotic vacuum cleaner app showing features like No-Go Zone, Schedule Cleaning, Remote Control, Multi-Level Mapping, and Cleaning Report.

Smart Adjustments During Cleaning

Some Narwal models include intelligent features that adapt to your environment. For instance:

  • DirtSense™ monitors how dirty the floor is and continues mopping until the area is clean

  • Mop lifting automatically raises the mop on carpet to avoid soaking

  • EdgeSwing™ improves corner and edge cleaning, especially along walls and furniture legs

  • Auto deep clean can be triggered when the robot detects heavy dirt levels

These features reduce the need for manual oversight and give you consistent cleaning results.

Designed for Everyday Life

Customization helps your robot fit naturally into your daily habits. Whether you need to clean after meals, avoid disturbing pets, or skip a child’s nap room, the Narwal app gives you the flexibility to adjust settings anytime.

The more you use it, the smarter it gets. Over time, the robot learns your layout and preferences, making each cleaning cycle more efficient and personalized.


Common Navigation Issues and Troubleshooting

Even the most advanced robot vacuums can encounter navigation issues. Here are some common problems and their solutions:

Problems

Solutions

Getting Stuck:

The vacuum frequently gets stuck under furniture or against obstacles.

Adjust Furniture Layout: Ensure enough clearance under furniture or block access to troublesome areas.

Set Up No-Go Zones: Use the app to create virtual barriers around problem spots.

Remove Clutter: Keep the floor clear of small objects that could obstruct the vacuum’s path.

Missing Areas:

The vacuum misses certain areas during cleaning.

Check the Map: Ensure all areas are included in the vacuum’s map and perform a remapping if needed.

Adjust Cleaning Zones: Redefine cleaning zones in the app to cover all areas.

Update Firmware: Ensure the vacuum’s firmware is up-to-date for improved navigation.

Battery Issues:

The vacuum doesn’t return to the dock or runs out of battery before finishing.

Place the Dock Correctly: Ensure the dock is in an open area with plenty of space around it.

Clean the Dock Contacts: Dirty contacts can prevent proper charging.

Check for Obstacles: Make sure nothing blocks the vacuum’s path to the dock.

Inaccurate Mapping:
The vacuum’s map is inaccurate, leading to poor navigation.

Remap: Reset the map and create a new one in a well-lit, obstacle-free area.

Clean Sensors: Regularly clean the sensors for accurate mapping.

Update Software: Keep both the vacuum and app updated.

Difficulty Transitioning Between Floor Types:
The vacuum struggles to move between different types of flooring.

Check Wheels: Ensure wheels are free of debris and can adjust to different floor heights.

Use Virtual Barriers: Set no-go zones to avoid problematic transitions.

Optimize Path: Adjust cleaning schedules or zones to minimize transitions.

Sensor Malfunctions:
The vacuum’s sensors are not detecting obstacles correctly.

Clean Sensors: Wipe sensors regularly to remove dust.

Update Firmware: Software updates can improve sensor accuracy.

Reset Vacuum: Follow the manufacturer’s instructions to reset the vacuum.

Ineffective Cleaning Patterns:
The vacuum follows a random pattern instead of a systematic route.

Verify Mapping: Ensure the initial mapping was completed without interruptions.

Adjust Cleaning Modes: Select a systematic cleaning mode in the app.

Update Firmware: Ensure the vacuum has the latest navigation algorithms.


Tips to Optimize Robot Vacuum Navigation

Optimizing the navigation of your robot vacuum can significantly enhance its performance, efficiency, and lifespan. To ensure your robot vacuum navigates efficiently, follow these key tips:

Clear the Floor

Before starting a cleaning session, take a few minutes to prepare the area:

  • Remove Small Objects: Pick up small items such as toys, socks, and other clutter that could obstruct the vacuum’s path. Small objects can get stuck in the vacuum’s brushes or cause it to get stuck.
  • Tidy Up Loose Cables: Loose cables can easily get tangled in the vacuum’s brushes, causing the vacuum to stop or malfunction. Use cable organizers or ties to keep cords off the floor and out of the vacuum’s way.
  • Move Delicate Items: If you have delicate items on the floor, such as vases or small pieces of furniture, move them to a safe place to prevent accidental damage.

Regular Maintenance

Keeping your robot vacuum in good condition is essential for optimal navigation and performance:

  • Clean Sensors: Regularly wipe the vacuum’s sensors with a soft, dry cloth to ensure they can accurately detect obstacles and navigate your home. Dust and dirt can accumulate on sensors, impairing their functionality.
  • Brush Maintenance: Clean the main brush and side brushes frequently to remove hair, dust, and debris. This prevents tangles and blockages, ensuring the vacuum can clean effectively.
  • Empty the Dustbin: An overfilled dustbin can reduce suction power and impair navigation. Empty the dustbin after each cleaning session or as needed to maintain optimal performance.
  • Check for Wear and Tear: Inspect the wheels, brushes, and other moving parts for signs of wear. Replace worn-out parts promptly to avoid navigation issues and maintain cleaning efficiency.

Update Software

Keeping your robot vacuum’s software up-to-date ensures it benefits from the latest features and improvements:

  • Firmware Updates: Regularly check for firmware updates provided by the manufacturer. These updates can enhance navigation algorithms, improve obstacle avoidance, and fix bugs.
  • App Updates: Ensure the companion app on your smartphone is updated to the latest version. App updates often include new features, improved user interfaces, and better integration with smart home devices.
  • Automatic Updates: If available, enable automatic updates for both the vacuum and the app to ensure you receive the latest improvements without manual intervention.

Optimize Map

Maintaining an accurate and updated map of your home is crucial for effective navigation:

  • Initial Mapping Run: When you first set up your vacuum, perform an initial mapping run to create a detailed map of your home. This map will guide the vacuum’s navigation and cleaning paths.
  • Regular Map Updates: As you rearrange furniture or add new obstacles, ensure the vacuum updates its map. Some models do this automatically, while others may require you to initiate a mapping run.
  • Set Up No-Go Zones: Use the companion app to define no-go zones where you don’t want the vacuum to clean. This can include areas with delicate items, pet feeding stations, or spaces with many cables. Setting up no-go zones helps the vacuum avoid trouble spots and focus on areas that need cleaning.
  • Create Virtual Barriers: For areas that the vacuum should avoid, such as staircases or rooms with delicate items, create virtual barriers using the app. This helps prevent the vacuum from entering restricted areas.
  • Optimize Cleaning Zones: Divide your home based on how often areas are used and how dirty they get. High-traffic areas might need more frequent cleaning, while less-used rooms can be cleaned less often. This targeted approach makes efficient use of the vacuum's battery and cleaning power.

Additional Tips

Here are some additional tips to further optimize your robot vacuum’s navigation and performance:

  • Schedule Cleanings: Use the scheduling feature in the app to set up regular cleaning times. This ensures your home stays clean without manually starting the vacuum each time. Scheduling cleanings when you’re not home can also minimize disruptions.
  • Monitor Cleaning Sessions: Periodically check on the vacuum during cleaning sessions to ensure it’s navigating correctly and does not encounter issues. If the vacuum gets stuck or misses areas, you can address the problem promptly.
  • Use Voice Commands: If your vacuum is compatible with voice assistants like Alexa or Siri, use voice commands to control it. This adds convenience and allows you to start, stop, or direct the vacuum without using the app.
  • Optimize Furniture Placement: Consider furniture placement to facilitate easier navigation for the vacuum. Ensure there is enough space for the vacuum to move around and under furniture. Avoid placing objects that can easily topple or obstruct the vacuum’s path.
  • Check Battery Health: Regularly check your vacuum's battery health and charging performance. A healthy battery ensures longer cleaning sessions and better navigation. If the battery performance declines, consider replacing it to maintain optimal operation.

 

Conclusion

Robot vacuums have transformed home cleaning with their smart navigation systems. They provide thorough and efficient cleaning using precise mapping, systematic paths, real-time obstacle avoidance, and automatic recharging. Regular maintenance and map updates improve their performance. They can also connect with smart home devices and allow you to set your cleaning preferences. Investing in a good robot vacuum saves time and keeps your home clean with minimal effort.

Find out more about these fantastic machines at Narwal! You are welcome to contact us if you have further questions!