
Bailey Smith contributed to the MissouriMRDT/Autonomy_Software repository by enhancing rover navigation capabilities and improving code maintainability. Over two months, Bailey replaced the existing bicycle model with a unicycle model, refining predictive control algorithms and updating related controller logic in C++. This transition included updating unit tests, documentation, and references to align with the new model, as well as developing a Docker deployment script to streamline containerized experimentation with NVIDIA runtime support. In addition, Bailey improved the Predictive Stanley Controller’s code clarity and formatting, applying C++ best practices to reduce maintenance overhead and facilitate future development within the robotics codebase.

November 2025 monthly summary for MissouriMRDT/Autonomy_Software: Focused on improving maintainability and readability of the Predictive Stanley Controller by applying code clarity and formatting enhancements. This work reduces future maintenance costs, improves review velocity, and sets a stronger foundation for upcoming features.
November 2025 monthly summary for MissouriMRDT/Autonomy_Software: Focused on improving maintainability and readability of the Predictive Stanley Controller by applying code clarity and formatting enhancements. This work reduces future maintenance costs, improves review velocity, and sets a stronger foundation for upcoming features.
October 2025 monthly summary for MissouriMRDT/Autonomy_Software focused on navigation model improvements and deployment tooling. Replaced the bicycle model with a Unicycle model to enhance predictive control for rover navigation, accompanied by related controller improvements, angular velocity limit test updates, a Unicycle paper reference, and code cleanups removing bicycle references and updating UnicycleModel author info. Added a Docker deployment script to simplify running autonomy software inside a container with NVIDIA runtime support and proper resource mounting. These changes improve navigation accuracy, streamline experimentation, and reduce deployment friction across containerized environments.
October 2025 monthly summary for MissouriMRDT/Autonomy_Software focused on navigation model improvements and deployment tooling. Replaced the bicycle model with a Unicycle model to enhance predictive control for rover navigation, accompanied by related controller improvements, angular velocity limit test updates, a Unicycle paper reference, and code cleanups removing bicycle references and updating UnicycleModel author info. Added a Docker deployment script to simplify running autonomy software inside a container with NVIDIA runtime support and proper resource mounting. These changes improve navigation accuracy, streamline experimentation, and reduce deployment friction across containerized environments.
Overview of all repositories you've contributed to across your timeline