Tino-FRC-2473/FRC2025
Feb 2025 – Mar 2025
2 Months active
Languages Used
JavaMarkdownJSON
Technical Skills
Autonomous NavigationAutonomous ProgrammingJavaPID ControlRoboticsSimulation
mlee187
PROFILE
Mlee187
During two months on the Tino-FRC-2473/FRC2025 repository, Michael Lee developed and enhanced autonomous navigation and coral handling features for robotics match play. He implemented new autonomous paths, AprilTag-based reef alignment, and input-triggered behaviors, using Java and PID control to improve reliability and reduce manual intervention. His work included trajectory generation, state machine implementation, and simulation updates, resulting in more consistent autonomous performance and clearer diagnostics. By refining PID tuning and expanding documentation, Michael enabled scalable strategies for reef exploration and accelerated onboarding. The depth of his contributions addressed both immediate match needs and long-term maintainability for the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
3
Lines of code
2,105
Activity Months2
Your Network
4 peopleSame Organization
@student.fuhsd.org1
Shared Repositories
3
Work History
March 2025
8 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for Tino-FRC-2473/FRC2025. This period focused on delivering autonomous mode enhancements for match play and strengthening navigation reliability. Key deliveries include two major feature areas: (1) Match 2 Autonomous Mode Enhancements with Turtle Mode, new match-2 paths, and input-triggered behaviors; (2) Autonomous Navigation Robustness and Diagnostics with PID tuning, reef alignment updates, trajectory refinements, and enhanced diagnostics/logging for simulation resets. These efforts improved autonomous consistency in match scenarios, reduced path-related failures, and provided richer telemetry for debugging and future iterations. Technologies demonstrated include PID control, trajectory planning, dead reckoning, and robust diagnostics.
8 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for Tino-FRC-2473/FRC2025. This period focused on delivering autonomous mode enhancements for match play and strengthening navigation reliability. Key deliveries include two major feature areas: (1) Match 2 Autonomous Mode Enhancements with Turtle Mode, new match-2 paths, and input-triggered behaviors; (2) Autonomous Navigation Robustness and Diagnostics with PID tuning, reef alignment updates, trajectory refinements, and enhanced diagnostics/logging for simulation resets. These efforts improved autonomous consistency in match scenarios, reduced path-related failures, and provided richer telemetry for debugging and future iterations. Technologies demonstrated include PID control, trajectory planning, dead reckoning, and robust diagnostics.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Tino-FRC-2473/FRC2025: Delivered autonomous navigation and coral handling enhancements. Implemented new autonomous paths and reef alignment commands; elevated coral handling by moving the elevator to level 2 when coral is held; added AprilTags alignment on reefs; updated motor simulation and broader autonomous strategy documentation. This work reduces manual intervention, improves autonomous reliability and throughput, and lays groundwork for scalable reef exploration strategies. Key commits include 6bc76370a3aed93360be1b689119e197889b4612 and e60726854dab22db259087fe1faab3fe12bc4430.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Tino-FRC-2473/FRC2025: Delivered autonomous navigation and coral handling enhancements. Implemented new autonomous paths and reef alignment commands; elevated coral handling by moving the elevator to level 2 when coral is held; added AprilTags alignment on reefs; updated motor simulation and broader autonomous strategy documentation. This work reduces manual intervention, improves autonomous reliability and throughput, and lays groundwork for scalable reef exploration strategies. Key commits include 6bc76370a3aed93360be1b689119e197889b4612 and e60726854dab22db259087fe1faab3fe12bc4430.
Activity
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Quality Metrics
Correctness80.0%
Maintainability86.0%
Architecture80.0%
Performance76.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJavaMarkdown
Technical Skills
AprilTag AlignmentAutonomous NavigationAutonomous ProgrammingAutonomous SystemsControl SystemsEmbedded SystemsJavaPID ControlPID TuningRobot ControlRobot ProgrammingRoboticsSimulationState Machine ImplementationState Machines
Repositories Contributed To
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