Navigation & SLAM

Coverage Path Planning

Coverage path planning is the computation of a path that passes over all points of a target area or surface, subject to the robot's footprint or tool width, used in floor cleaning, lawn mowing, agricultural field operations, spray painting, and inspection. Classical methods include boustrophedon (back-and-forth) cellular decomposition and spiral patterns, with extensions handling obstacles, energy limits, and multi-robot partitioning.

Why it matters for physical AI

Coverage tasks constitute some of the largest deployed robot fleets, from household vacuums to agricultural machinery, and pairing coverage planners with learned terrain and dirt perception improves their real-world efficiency.