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 lets robot vacuums 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 simply follow a predefined pattern? What are the trade‑offs between accuracy and battery life? Would love to hear your thoughts on the most efficient navigation strategies and any tips for getting the best performance.