LiU-SeeGoals/controller
Mar 2025 – Apr 2025
2 Months active
Languages Used
GoJavaScriptDockerfile
Technical Skills
AIAI DevelopmentBackend DevelopmentCode CleanupDebuggingGame Development
Anton
PROFILE
Anton
Anton Östman contributed to the LiU-SeeGoals/controller repository by developing AI-driven simulation features and real-time visualization tools over a two-month period. He enhanced robot behavior through new AI modules and refined simulation logic, improving both play quality and system reliability. Anton implemented a Fyne-based GUI for real-time data visualization, integrated raymarching-based goal detection from the robot’s perspective, and stabilized the visualization backend by addressing segmentation faults. His work involved Go, JavaScript, and Docker, with a focus on backend development, computer vision, and code refactoring. These contributions enabled faster iteration, more robust testing, and clearer insights for robotics research and development.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
4
Lines of code
4,476
Activity Months2
Your Network
12 people
Work History
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for LiU-SeeGoals/controller. Focused on delivering real-time visualization, robot perception enhancements, and reliability improvements that collectively boost decision support and system stability. Key outcomes include a real-time GUI visualization using Fyne with a none-backend option and a refactor to use a named plot window for better integration with raycasting, raymarching-based goal detection from the robot’s perspective, and stabilization of the Fayne backend startup by fixing a segmentation fault and removing unnecessary debug prints.
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for LiU-SeeGoals/controller. Focused on delivering real-time visualization, robot perception enhancements, and reliability improvements that collectively boost decision support and system stability. Key outcomes include a real-time GUI visualization using Fyne with a none-backend option and a refactor to use a named plot window for better integration with raycasting, raymarching-based goal detection from the robot’s perspective, and stabilization of the Fayne backend startup by fixing a segmentation fault and removing unnecessary debug prints.
April 2025
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for LiU-SeeGoals/controller. Delivered key AI and simulation enhancements, stabilized the controller, and reduced noisy output. The work focused on delivering business value through more capable AI behavior, realistic simulation, and cleaner code, enabling faster iteration, improved play quality, and more reliable performance in test and production environments.
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for LiU-SeeGoals/controller. Delivered key AI and simulation enhancements, stabilized the controller, and reduced noisy output. The work focused on delivering business value through more capable AI behavior, realistic simulation, and cleaner code, enabling faster iteration, improved play quality, and more reliable performance in test and production environments.
Activity
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Quality Metrics
Correctness82.6%
Maintainability82.6%
Architecture80.0%
Performance70.0%
AI Usage27.6%
Skills & Technologies
Programming Languages
DockerfileGoJavaScript
Technical Skills
AIAI DevelopmentBackend DevelopmentCode CleanupCode RefactoringComputer VisionData VisualizationDebuggingDockerGUI DevelopmentGame DevelopmentGo ModulesGo ProgrammingRoboticsSimulation
Repositories Contributed To
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