Skilled movement breaks when conditions change: a drone with a new payload, a gust in a tight space, a surgical robot on a new task.

RAST infers the strategy behind expert performance and regenerates behavior for the new conditions. It does not copy the movement. It keeps what the movement was trying to achieve.

RAST is grounded in optimal control, the same foundations behind spacecraft guidance and precision robotics. We apply that rigor to human motor behavior and real-time execution.

The goal: infer the intent once, and recompute the action wherever the dynamics change.