By exploiting elements of Riemannian geometry, we can find embedded constraint manifolds and develop continuous paths across them
To create optimal fixturing plans for autonomous manufacturing, we combine a team theoretic approach to understanding optima with reinforcement learning to find fixturing plans.
Using a multi-sensor Kalman filter, we can construt a sensing template to allow for accurate positioning of large aerospace components.
