
Kamar Owen developed foundational autonomous control features for the RoboJackets/robowrestling-software repository, focusing on sensor integration, state management, and motion control using C and C++. Over two months, Kamar consolidated IR and line sensor classes, introduced a world-state model to interpret sensor data, and established a dedicated sensors directory to improve maintainability. He implemented a MotorDriver and RobotAction API to enable precise robot movement and created the Pharmici sensor module, supporting autonomous operation in varied match scenarios. The work emphasized clear API boundaries, technical debt reduction, and scalable architecture, providing a robust base for future autonomous navigation and strategy features.

March 2025 (RoboJackets/robowrestling-software): Delivered foundational autonomous robot control framework with Pharmici sensor module, enabling autonomous operation and sensor-driven decisions. Established state management, sensor integration, and configurable data sources; introduced Pharmici with IR and Line sensors, and adjusted motor/algorithm behavior to accommodate various enemy positions. This work provides a scalable base for autonomous navigation, match strategy execution, and future feature expansion.
March 2025 (RoboJackets/robowrestling-software): Delivered foundational autonomous robot control framework with Pharmici sensor module, enabling autonomous operation and sensor-driven decisions. Established state management, sensor integration, and configurable data sources; introduced Pharmici with IR and Line sensors, and adjusted motor/algorithm behavior to accommodate various enemy positions. This work provides a scalable base for autonomous navigation, match strategy execution, and future feature expansion.
January 2025 performance summary for RoboJackets/robowrestling-software. Focused on delivering foundational sensing, world-state interpretation, and motion control features to enable reliable line tracking and autonomous movement. This work lays the groundwork for enemy localization and more advanced behaviors, with emphasis on maintainability and clear API boundaries.
January 2025 performance summary for RoboJackets/robowrestling-software. Focused on delivering foundational sensing, world-state interpretation, and motion control features to enable reliable line tracking and autonomous movement. This work lays the groundwork for enemy localization and more advanced behaviors, with emphasis on maintainability and clear API boundaries.
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