1) Laser-based precise navigation;
2) Vision-based navigation using cameras + AI;
3) Low-cost solution based on random path planning.
Please explain your preference, such as considerations for map building, obstacle avoidance, or cost. Do you value endurance time more or cleaning efficiency? Feel free to share your thoughts!
Let's discuss and vote on the navigation methods, battery life, and cleaning modes for robot vacuum cleaners to choose the most suitable technological approach.
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I'm a bit curious about the details of LiDAR-based mapping—does it have blind spots in complex rooms? Also, does this approach have significantly shorter battery life compared to visual navigation? Does anyone have real-world experience with this?
I personally prefer LiDAR navigation. After using the Xiaomi Roborock for a few months, I found its map-building to be extremely accurate, with clear layers for walls and furniture outlines. Combined with Home Assistant automation, it allows for zone scheduling and no-go zone settings, requiring minimal manual intervention. In comparison, vision + AI solutions have an edge in identifying small objects but are sensitive to lighting changes—dim hallways often lead to misjudgments, causing repeated collisions or missed spots, making them slightly less reliable overall. As for battery life, I prioritize cleaning efficiency—one full charge can cover at least 150㎡ of whole-house cleaning, and with the auto-recharge and resume function, it can essentially handle the entire house in one go. If the budget is tight, random-path budget models can serve as backups, but they tend to have many redundant paths and blind spots in actual use, ultimately consuming more time and battery in the long run. If anyone has experience integrating this with Home Assistant, feel free to share details, especially tips on map editing and no-go zone settings!