Team302/2025Reefscape
Jan 2025 – Mar 2025
3 Months active
Languages Used
C++JSONTRAJXML
Technical Skills
Computer VisionData LoggingEmbedded SystemsNetwork CommunicationsRoboticsSensor Integration
Aden25
PROFILE
Aden25
Benjamin Sameck contributed to Team302/2025Reefscape by developing and refining autonomous navigation, perception, and control features for robotics systems. Over three months, he enhanced pose estimation reliability, integrated Limelight vision data with AprilTag caching, and implemented 3D pose logging to improve calibration and observability. He expanded autonomous routines with XML-driven configuration, introduced zone awareness, and optimized trajectory planning using C++ and embedded systems techniques. His work included CAN range sensor integration and robust network communications for scalable data sharing. By addressing both feature development and targeted bug fixes, Benjamin delivered well-structured, maintainable code that improved autonomous behavior and system reliability.
Overall Statistics
Feature vs Bugs
85%Features
Repository Contributions
33Total
Bugs
2
Commits
33
Features
11
Lines of code
19,400
Activity Months3
Your Network
12 peopleSame Organization
@stu.lok12.org3
Work History
March 2025
14 Commits • 5 Features
Mar 1, 2025Concise 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.
14 Commits • 5 Features
Mar 1, 2025Concise 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.
March 2025
February 2025
14 Commits • 2 Features
Feb 1, 2025February 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
14 Commits • 2 Features
Feb 1, 2025February 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
5 Commits • 4 Features
Jan 1, 2025January 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.
5 Commits • 4 Features
Jan 1, 2025January 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
Activity
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Quality Metrics
Correctness82.6%
Maintainability83.6%
Architecture80.0%
Performance76.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JSONTRAJXML
Technical Skills
Autonomous NavigationAutonomous ProgrammingAutonomous SystemsAutonomous Systems ConfigurationC++C++ DevelopmentComputer VisionConfigurationConfiguration ManagementControl SystemsData LoggingDebuggingEmbedded SystemsField Element MappingLogging
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