CircuitRunners/FRC-2025
Feb 2025 – Apr 2025
3 Months active
Languages Used
GoJSONJavaShell
Technical Skills
Autonomous RoutinesCode CleanupCommand-Based FrameworkCommand-Based ProgrammingComputer VisionConfiguration
Kesavan Rangarajan
PROFILE
Kesavan Rangarajan
During three months on the CircuitRunners/FRC-2025 repository, K7 Rang developed and refined autonomous and teleoperated control systems for a competitive robotics platform. They implemented swerve drive tuning, vision-based localization using Limelight, and robust autonomous routines, focusing on reliability and maintainability. Their work included Java-based command frameworks, PID control for manipulators, and integration of computer vision for accurate pose estimation. By iteratively improving drive system commands, scoring workflows, and subsystem integration, K7 Rang enhanced both autonomous and operator-driven performance. The engineering demonstrated depth in robotics software, with careful attention to configuration, simulation readiness, and maintainable code structure throughout development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
34Total
Bugs
0
Commits
34
Features
10
Lines of code
4,812
Activity Months3
Your Network
7 people
Work History
April 2025
4 Commits • 2 Features
Apr 1, 2025Monthly summary for 2025-04 focused on delivering reliable autonomous behavior and faster scoring workflows for CircuitRunners/FRC-2025. Key features delivered include autonomous mode selection and auto-alignment improvements, and L1/L4 scoring and teleop timing enhancements. Major updates removed PathPlanner auto-building in favor of manual mode selection, improved vision-based pose estimation, camera transforms, teleop scoring command, and elevator PID refinements. These changes enhance autonomous reliability, scoring throughput, and on-field adaptability with clear commit signals.
4 Commits • 2 Features
Apr 1, 2025Monthly summary for 2025-04 focused on delivering reliable autonomous behavior and faster scoring workflows for CircuitRunners/FRC-2025. Key features delivered include autonomous mode selection and auto-alignment improvements, and L1/L4 scoring and teleop timing enhancements. Major updates removed PathPlanner auto-building in favor of manual mode selection, improved vision-based pose estimation, camera transforms, teleop scoring command, and elevator PID refinements. These changes enhance autonomous reliability, scoring throughput, and on-field adaptability with clear commit signals.
April 2025
March 2025
13 Commits • 3 Features
Mar 1, 2025March 2025 summary for CircuitRunners/FRC-2025 focused on delivering a robust perception-localization stack, smarter autonomous scoring, and maintainable drive system improvements. Key progress includes Limelight-based pose localization enabling accurate robot pose estimates and camera configuration management, vision subsystem updates leveraging Limelight data for target information, and a series of autonomous enhancements to improve reliability and scoring accuracy. Drive system improvements emphasize gyro zeroing, swerve code efficiency, and clearer command registration for reliability and maintainability. An intake fix was implemented to resolve autonomous scoring issues, complemented by drivebase changes and end-of-auton rotations to improve field performance. Overall, these efforts increased scoring consistency, reduced operator intervention, and enhanced maintainability and technology stack fluency.
March 2025
13 Commits • 3 Features
Mar 1, 2025March 2025 summary for CircuitRunners/FRC-2025 focused on delivering a robust perception-localization stack, smarter autonomous scoring, and maintainable drive system improvements. Key progress includes Limelight-based pose localization enabling accurate robot pose estimates and camera configuration management, vision subsystem updates leveraging Limelight data for target information, and a series of autonomous enhancements to improve reliability and scoring accuracy. Drive system improvements emphasize gyro zeroing, swerve code efficiency, and clearer command registration for reliability and maintainability. An intake fix was implemented to resolve autonomous scoring issues, complemented by drivebase changes and end-of-auton rotations to improve field performance. Overall, these efforts increased scoring consistency, reduced operator intervention, and enhanced maintainability and technology stack fluency.
February 2025
17 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for CircuitRunners/FRC-2025 focused on delivering robust drive and manipulator capabilities, enhancing autonomous pathways, and improving system reliability for competition readiness.
17 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for CircuitRunners/FRC-2025 focused on delivering robust drive and manipulator capabilities, enhancing autonomous pathways, and improving system reliability for competition readiness.
February 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability79.8%
Architecture76.8%
Performance74.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoJSONJavaShell
Technical Skills
Autonomous ProgrammingAutonomous RoutinesBuild AutomationCode CleanupCommand-Based FrameworkCommand-Based ProgrammingComputer VisionConfigurationControl SystemsDependency ManagementDevOpsEmbedded SystemsFRCInput HandlingJava
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline