Tino focused on enhancing autonomous path planning and movement accuracy for the Tino-FRC-2473/FRC2025 repository by tuning Choreo path parameters such as weight, bumper dimensions, motor speed, and torque. Through careful adjustment of half-paths to ensure perpendicular alignment with the field, Tino regenerated all paths to reduce run-to-run variation and improve reliability in autonomous navigation. The work leveraged skills in robotics, trajectory generation, and path planning, with configuration and data managed in JSON. This targeted feature addressed precision and robustness in field conditions, reflecting a deep, methodical approach to improving the consistency of autonomous robot movement.