How do robot vacuums map a room and decide the most efficient cleaning path?

29 Tem 18:00

I'm curious about the underlying tech that allows robot vacuums to navigate without hitting furniture. Specifically, how do they combine LiDAR, optical flow, or bump sensors to create a map and choose a cleaning route? Also, does the algorithm prioritize high-traffic areas or just follow a predefined pattern? What are the trade-offs between accuracy and battery life? I'd love to hear your thoughts on the most efficient navigation strategies and any tips for getting the best performance.