LiU-SeeGoals/controller
Nov 2024 – Dec 2024
2 Months active
Languages Used
Go
Technical Skills
AI DevelopmentGame DevelopmentRoboticsAICode StandardizationDebugging
Jamie Mersh
PROFILE
Jamie Mersh
Jamme worked on the LiU-SeeGoals/controller repository, developing and refining the MoveToBall AI navigation feature for autonomous robotics. Over two months, Jamme implemented scenario-based testing to validate robot behavior across varied game states, introducing a FAILED state to improve failure diagnosis. The work included refactoring internal data structures using Go and the info package, enhancing maintainability and debugging efficiency. By adding runtime instrumentation and aligning tests with new reliability standards, Jamme reduced flaky behavior and improved test coverage. The engineering focused on AI development, robotics simulation, and code standardization, resulting in more robust and reliable autonomous ball-tracking performance.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
164
Activity Months2
Your Network
24 people
Work History
December 2024
4 Commits • 1 Features
Dec 1, 2024In 2024-12, LiU-SeeGoals/controller delivered key reliability and testing improvements for the MoveToBall AI scenario. The work focused on runtime handling, ball proximity detection, and data structure consistency, with debugging instrumentation and test adjustments. A refactor to use the info package for internal data structures improved maintainability and debuggability. The result is more robust autonomous ball-tracking behavior in simulation, reduced flaky behavior, and faster iteration cycles.
4 Commits • 1 Features
Dec 1, 2024In 2024-12, LiU-SeeGoals/controller delivered key reliability and testing improvements for the MoveToBall AI scenario. The work focused on runtime handling, ball proximity detection, and data structure consistency, with debugging instrumentation and test adjustments. A refactor to use the info package for internal data structures improved maintainability and debuggability. The result is more robust autonomous ball-tracking behavior in simulation, reduced flaky behavior, and faster iteration cycles.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 delivered a pivotal MoveToBall AI navigation capability in LiU-SeeGoals/controller, enabling robots to reliably move toward the ball and respond to different game states. A scenario-based test suite was added to validate MoveToBall behavior across various states, including a dedicated FAILED state to surface and diagnose navigation failures. There were no major bug fixes documented for this module this month. Overall, the work advances autonomous control quality, improves testing discipline, and strengthens the product's competitive edge in real-time play.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 delivered a pivotal MoveToBall AI navigation capability in LiU-SeeGoals/controller, enabling robots to reliably move toward the ball and respond to different game states. A scenario-based test suite was added to validate MoveToBall behavior across various states, including a dedicated FAILED state to surface and diagnose navigation failures. There were no major bug fixes documented for this module this month. Overall, the work advances autonomous control quality, improves testing discipline, and strengthens the product's competitive edge in real-time play.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture72.0%
Performance72.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
AIAI DevelopmentCode StandardizationDebuggingGame DevelopmentPackage ManagementRefactoringRoboticsRobotics SimulationTesting
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