Narwal Shows the Flow 2 AI Vacuum Robot at CES 2026
The CES 2026 trade show served as the stage for Narwal to reveal its latest innovation in home cleaning: the Flow 2 vacuum robot. This model takes a significant leap by integrating an artificial intelligence system that allows it to see and understand what is on the floor. 🤖
A Brain That Sees and Decides
The main novelty of the Flow 2 is its ability to recognize common objects. Through a front camera and a neural processing module, the robot analyzes the environment in real time. It not only detects an obstacle but classifies whether it is a toy, a cable, or a shoe. With this information, it chooses to go around it or, if it is flat and light, gently push it aside. All the data processing is done inside the device to protect user privacy.
Key Features of the AI System:- Real-time visual analysis to identify object types.
- Autonomous decision-making to dodge or move obstacles.
- Local processing of information, without sending data to the cloud.
The true test for its AI will be distinguishing between a lost sock and a cockroach, without the robot or the owner panicking.
Technical Improvements Beyond Vision
In addition to its new "smart eye," the Narwal Flow 2 receives other updates. Its LiDAR navigation system has been refined to map spaces with greater accuracy. The battery offers longer runtime, and the combined water and dust tank design makes it easy to empty.
Other Flow 2 Updates:- Optimized LiDAR Navigation for more detailed maps.
- Extended Autonomy thanks to a higher-capacity battery.
- Easily Accessible Tank for quick maintenance.
Intuitive Control from the Smartphone
The user experience is completed with the mobile app. From it, it is possible to draw on the house map to create temporary exclusion zones. This allows, for example, preventing the robot from passing through an area where something has been spilled, simply by tracing an area on the screen. The Flow 2 represents a step toward home robots that not only clean but perceive and adapt more intelligently to the environment. 🧠