Grain-Adaptive Robotic Wood Planer (2D)
Interactive 2D simulation of a robotic planer head that senses local wood-grain angle ahead of the blade and servos the cutting edge to match it, minimizing tear-out. Compare adaptive vs. fixed-angle cutting, tune sensor lookahead lag, and read the grain-vs-blade angle trace and risk history live.
Real wood grain wanders — it rarely runs perfectly straight along a board. A fixed-angle blade slices cleanly where its skew happens to line up with the fiber direction, and tears splinters loose everywhere else. This simulation models a robotic planer head that reads the local grain angle a lookahead distance ahead of the cutting edge and rotates the blade to track it after a realistic transport delay, the same closed-loop sense-ahead / actuate-behind pattern used on real automated jointers and planers. Toggle adaptive tracking off to fight the same wavy grain with a fixed-skew blade, tune feed rate, cut depth and sensor lookahead, and grow a fresh board to test a new random grain pattern.
A robotic planer head reads the local wood-grain angle a lookahead distance ahead of the blade and servos the cutting edge to match it after a realistic sensor-to-actuator transport delay, minimizing tear-out. Compare adaptive vs. fixed-angle cutting, tune the lookahead lag, and watch the live grain-vs-blade angle trace and risk history across a procedurally generated board.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install