
Over a three-month period, contributed to Team302/2025Reefscape by developing and refining autonomous navigation, perception, and control features for robotics applications. Work included enhancing pose estimation reliability, integrating Limelight vision data with AprilTag caching, and implementing 3D pose logging for improved observability. Expanded autonomous routines with XML-driven configuration and state machine updates, enabling robust Red-side and zone-aware behaviors. Improved trajectory generation and path planning by tuning constraints and adding new waypoint logic. Integrated CAN range sensors and upgraded telemetry systems for richer data logging. Solutions were delivered in C++ with a focus on embedded systems, computer vision, and configuration management.
Concise monthly summary for March 2025 focusing on autonomous navigation, planning, and telemetry improvements for Team302/2025Reefscape. Highlights include cage/barge targeting enhancements, trajectory and waypoint constraint updates, richer telemetry, zone awareness, and CAN range sensor integration, delivered with improved observability and reliability for autonomous operation.
Concise monthly summary for March 2025 focusing on autonomous navigation, planning, and telemetry improvements for Team302/2025Reefscape. Highlights include cage/barge targeting enhancements, trajectory and waypoint constraint updates, richer telemetry, zone awareness, and CAN range sensor integration, delivered with improved observability and reliability for autonomous operation.
February 2025 performance highlights for Team302/2025Reefscape. Delivered core pose-estimation improvements, expanded autonomous capabilities on Red-side configurations, tuned trajectory parameters, and removed legacy features to improve maintainability. These changes enhanced reliability of pose estimates, autonomy robustness, path planning stability, and code maintainability, enabling more predictable mission execution and faster iteration. Technologies demonstrated include caching strategies, state integration, XML-driven configurations, and targeted refactors.
February 2025 performance highlights for Team302/2025Reefscape. Delivered core pose-estimation improvements, expanded autonomous capabilities on Red-side configurations, tuned trajectory parameters, and removed legacy features to improve maintainability. These changes enhanced reliability of pose estimates, autonomy robustness, path planning stability, and code maintainability, enabling more predictable mission execution and faster iteration. Technologies demonstrated include caching strategies, state integration, XML-driven configurations, and targeted refactors.
January 2025 monthly summary for Team302/2025Reefscape. Delivered end-to-end perception, calibration, and navigation improvements: Limelight data exposure with AprilTag caching; yaw/position calibration framework; 3D pose logging and robot-pose integration; and Quest Navigation data communication via NetworkTables. These efforts enhance perception fidelity, calibration reliability, and scalable data sharing for autonomous behavior.
January 2025 monthly summary for Team302/2025Reefscape. Delivered end-to-end perception, calibration, and navigation improvements: Limelight data exposure with AprilTag caching; yaw/position calibration framework; 3D pose logging and robot-pose integration; and Quest Navigation data communication via NetworkTables. These efforts enhance perception fidelity, calibration reliability, and scalable data sharing for autonomous behavior.

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