Developed and delivered the initial Variable Drive Speed feature for the MissouriMRDT Autonomy_Software repository, focusing on adaptive drive control for autonomous robotics. Leveraging C++ and algorithm development skills, implemented dynamic speed adjustment in the DriveBoard module by integrating terrain slope analysis with camera sensor data. This approach enabled the vehicle to modulate drive effort in response to environmental conditions, enhancing safety and reliability on uneven terrain. Extended the DriveBoard API to support future tuning and sensor integration, laying groundwork for sensor fusion between terrain and vision data. The work emphasized maintainability and scalability, supporting robust autonomous traversal in complex environments.