Team302/2025Reefscape
Mar 2025 – Apr 2025
2 Months active
Languages Used
BatchC++HaskellJSONPythonHeader
Technical Skills
Autonomous NavigationAutonomous ProgrammingAutonomous SystemsBackend DevelopmentC++C++ Development
Aden25
PROFILE
Aden25
During two months on Team302/2025Reefscape, Los Latterya developed and refined autonomous navigation and motion planning systems for robotics in complex reef-like environments. They implemented zone-based targeting and trajectory tuning to enable reliable barge navigation, integrating C++ and Python for robust backend and embedded control. Their work included state machine enhancements to automate gameplay sequences, vision system setup for sensor-driven navigation, and PID-based motion control for precise path following. By centralizing zone validation and improving telemetry, Los reduced operator intervention and increased system predictability. The depth of their contributions advanced both the reliability and maintainability of the project’s autonomous features.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
30Total
Bugs
1
Commits
30
Features
9
Lines of code
6,097
Activity Months2
Your Network
12 peopleSame Organization
@stu.lok12.org3
Work History
April 2025
12 Commits • 5 Features
Apr 1, 2025April 2025 monthly work summary for Team302/2025Reefscape focused on delivering robust driving/navigation capabilities, refining motion planning, integrating vision systems, and improving code quality to support reliable scoring in competition scenarios.
12 Commits • 5 Features
Apr 1, 2025April 2025 monthly work summary for Team302/2025Reefscape focused on delivering robust driving/navigation capabilities, refining motion planning, integrating vision systems, and improving code quality to support reliable scoring in competition scenarios.
April 2025
March 2025
18 Commits • 4 Features
Mar 1, 2025March 2025 performance for Team302/2025Reefscape focused on delivering robust autonomous navigation to reef assets, safer barge interfacing, and tuned trajectory planning for complex environments, while strengthening safety and observability. Key enhancements were released across autonomous navigation, path planning, and state management, with a heavy emphasis on zone validation and telemetry to support reliable field operations. The work reduces operator intervention, increases autonomous throughput, and improves predictability in reef-like scenarios.
March 2025
18 Commits • 4 Features
Mar 1, 2025March 2025 performance for Team302/2025Reefscape focused on delivering robust autonomous navigation to reef assets, safer barge interfacing, and tuned trajectory planning for complex environments, while strengthening safety and observability. Key enhancements were released across autonomous navigation, path planning, and state management, with a heavy emphasis on zone validation and telemetry to support reliable field operations. The work reduces operator intervention, increases autonomous throughput, and improves predictability in reef-like scenarios.
Activity
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Quality Metrics
Correctness81.6%
Maintainability81.6%
Architecture77.0%
Performance76.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
BatchC++HaskellHeaderJSONPython
Technical Skills
Autonomous NavigationAutonomous ProgrammingAutonomous SystemsBackend DevelopmentC++C++ DevelopmentChassis ControlComputer VisionConfiguration ManagementControl SystemsCoordinate SystemsEmbedded SystemsField Element ParsingGeometryMotion Control
Repositories Contributed To
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