
Hunter Lerette developed the initial Variable Drive Speed feature for the MissouriMRDT Autonomy_Software repository, focusing on adaptive drive control for autonomous robotics. Using C++ and leveraging skills in algorithm development and sensor integration, Hunter implemented dynamic speed adjustments in the DriveBoard module by analyzing terrain slope and camera sensor data. This approach enabled the robot to traverse uneven terrain more safely and efficiently, while also extending the DriveBoard API to support future tuning and integration with additional sensors. The work laid a foundation for sensor fusion between terrain and vision data, demonstrating thoughtful engineering depth and a focus on robust autonomy.

In Oct 2025, delivered the initial Variable Drive Speed feature for the MissouriMRDT Autonomy_Software project. Implemented dynamic drive speed control in DriveBoard by adapting drive effort based on terrain slope and camera sensor data. No major defects fixed this month; maintenance focused on enabling robust autonomous traversal and setting the stage for sensor fusion with vision data. This work improves safety, reliability, and efficiency in uneven terrain and contributes to the platform's scalability.
In Oct 2025, delivered the initial Variable Drive Speed feature for the MissouriMRDT Autonomy_Software project. Implemented dynamic drive speed control in DriveBoard by adapting drive effort based on terrain slope and camera sensor data. No major defects fixed this month; maintenance focused on enabling robust autonomous traversal and setting the stage for sensor fusion with vision data. This work improves safety, reliability, and efficiency in uneven terrain and contributes to the platform's scalability.
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