
Contributed to RoboJackets/robowrestling-software by developing foundational features for autonomous robot control using C, C++, and PlatformIO. Built a modular sensor integration system, consolidating IR and line sensors into a unified framework for world-state interpretation and line positioning. Established a clear API for robot locomotion, introducing MotorDriver and RobotAction classes to manage movement and state transitions. Integrated the Pharmici sensor module and implemented configurable data sources, enabling the robot to adapt its behavior based on opponent positions. Focused on maintainability by removing legacy code and emphasizing state management, laying a scalable groundwork for future autonomous navigation and match strategies.
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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