
Developed foundational robotic control features for the uf-mil/mil2 repository over a two-month period, focusing on modular system architecture and operator usability. Established a control system initialization framework in C++ and Python, incorporating scaffolding for future data science, machine learning, and computer vision integration. Delivered a keyboard-based gripper control mechanism, both as a standalone feature and as a simulation plugin, enabling rapid operator interaction and efficient testing within Gazebo and ROS environments. The work emphasized plugin architecture, simulation integration, and version-controlled delivery, providing a robust baseline for future perception, planning, and autonomy components without addressing bug fixes during this period.
January 2026 (2026-01): Key feature delivered: GripperControl plugin with keyboard interaction for uf-mil/mil2, enabling keyboard toggling of the gripper in the simulation. Connected gripper control to the sub-system via commit ef6a19562ba5e9f156a0e6440981e0a614feb6f3. No major bugs fixed this month. Overall impact: improved operator usability and testing efficiency in simulation, enabling more rapid iteration of gripper behavior. Technologies and skills demonstrated: plugin architecture, keyboard input handling, simulation integration, and version-controlled feature delivery.
January 2026 (2026-01): Key feature delivered: GripperControl plugin with keyboard interaction for uf-mil/mil2, enabling keyboard toggling of the gripper in the simulation. Connected gripper control to the sub-system via commit ef6a19562ba5e9f156a0e6440981e0a614feb6f3. No major bugs fixed this month. Overall impact: improved operator usability and testing efficiency in simulation, enabling more rapid iteration of gripper behavior. Technologies and skills demonstrated: plugin architecture, keyboard input handling, simulation integration, and version-controlled feature delivery.
November 2025 — Delivered the foundational Robotic Control System Initialization and Keyboard Gripper Control for the uf-mil/mil2 repository. Established a modular control framework with scaffolding and dependencies for data science, machine learning, and computer vision, and implemented keyboard-based gripper control to accelerate testing and operator interaction. This work creates a solid baseline for perception, planning, and autonomy components and enables rapid prototyping and integration of future features.
November 2025 — Delivered the foundational Robotic Control System Initialization and Keyboard Gripper Control for the uf-mil/mil2 repository. Established a modular control framework with scaffolding and dependencies for data science, machine learning, and computer vision, and implemented keyboard-based gripper control to accelerate testing and operator interaction. This work creates a solid baseline for perception, planning, and autonomy components and enables rapid prototyping and integration of future features.

Overview of all repositories you've contributed to across your timeline