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Legible Robot Motion 2D: Efficient vs. Legible Reaching

Top-down 2D robot-arm lab: efficient shortest-path reaching versus legible motion that exaggerates its early trajectory to signal the true target sooner, with a live Bayesian human-confidence readout and a path-length-vs-legibility trial chart.

Robotics & Kinematics2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

This 2D companion drives the same efficient-vs-legible trajectory trade-off as the 3D version through a plain top-down canvas view built for reading the geometry rather than orbiting a scene: a side panel exposes the mode switch, an exaggeration slider and an arm-speed slider, a simulated Bayesian observer scores each of three candidate targets by how well the arm's motion-so-far explains reaching it, and a running scatter chart plots path length against legibility score across trials — making the efficiency/predictability trade-off that matters for any robot sharing space with people directly visible instead of implied.

⚙ Under the hood

Top-down 2D robot-arm lab comparing an efficient (shortest-path) reach against a legible reach that deliberately exaggerates its early trajectory, with a live Bayesian human-confidence readout and a path-length-vs-legibility trial chart.

human-robot interactionlegible motionmotion planningtrajectory legibilityrobot trustintent inference

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install