Complementary Senses

One object, three noisy senses. Vision reads its shape, a tap reads its material and, through the closed shell, its fill level, a fingertip reads its texture. Each is expert at one thing and near-blind at the rest. Watch Bayesian fusion make a scene understanding sharper than any single sense, and watch what happens to fill when you take the sound away.

A Bayesian sensor-fusion model. Each sense's likelihoods are set from its real strengths, not learned from data, the point is the logic of why fusion wins, which is exactly what SonicSense and ManiWAV learn from contact audio. Runs entirely on your device. · Institute for Physical AI @ JBI