Introduction

Nautilus is a speedsolving method designed for ergonomics, efficiency, and automation. The first two steps of the method intuitively solve pieces in such a way that blind spots are minimized and look ahead is maximized. The final two steps are automated through the use of algorithms. Recognition is simple thanks to all pieces being in view.

Interesting traits:

• Algorithm based ending: The final steps either use memorized algorithms with drilled ergonomics, or are automatic due to the simplicity. This removes any thinking time and ensures that the best and fastest solutions are always used, as opposed to intuitive solving where the solver may not always find the most ergonomic or shortest solutions.

• Easy last layer recognition: The last layer step in Nautilus requires checking just a single plane for recognition. Only the side stickers of the last layer are required to know the case, similar to two sided PLL recognition on 3x3. Some endings in other methods require checking multiple faces and layers to know the case.

• Easy to understand: The final steps of the method use algorithms. So there is no need to learn and practice an intuitive solution that may be difficult to understand.

• Expandable: The final steps have potential for advancements. The last triple can likely be easily integrated into the centers step, or the last layer can be influenced while solving the last triple (similar to ZBLS), or the number of pieces involved in the last triple step can be increased to solve more at once in a single algorithm.