frc78/2025-robot
Jan 2025 – Mar 2025
3 Months active
Languages Used
JSONJavaKotlin
Technical Skills
Autonomous RoutinesCommand-Based FrameworkEmbedded SystemsPath PlanningRoboticsState Machines
Levi Hubbell
PROFILE
Levi Hubbell
Levi Carter Hubbell developed advanced autonomous routines and operator controls for the frc78/2025-robot repository over a three-month period. He implemented path planning and state machine logic in Java and Kotlin, enabling the robot to execute repeatable autonomous navigation and scoring sequences. By integrating Smart Dashboard controls and a RobotState enum, Levi streamlined subsystem coordination and improved testing efficiency. He enhanced intake, climbing, and navigation subsystems with command-based programming, focusing on reliability and operator usability. His work included precise unit handling and sensor integration, resulting in safer, more consistent autonomous performance and reducing operator workload through robust, maintainable embedded systems engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
6
Lines of code
3,867
Activity Months3
Your Network
8 people
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 — frc78/2025-robot: Delivered a robust autonomous coral scoring and navigation capability, significantly improving reliability and throughput in autonomous mode. Implemented the FourCoralAuto routine to handle path following, precise driving to target coral stations, and coordinated interactions with intake and superstructure subsystems. Updated chassis commands to support the new autonomous behavior and introduced autonomous utilities to enhance synchronization and safety. Refined the scoring workflow with a short post-outtake delay and controlled intake rollers, and extended drive distance for driveToClosestCoralStation to improve navigation accuracy across varied field conditions. These changes reduce operator intervention and set the foundation for more consistent autonomous performance across missions.
2 Commits • 1 Features
Mar 1, 2025March 2025 — frc78/2025-robot: Delivered a robust autonomous coral scoring and navigation capability, significantly improving reliability and throughput in autonomous mode. Implemented the FourCoralAuto routine to handle path following, precise driving to target coral stations, and coordinated interactions with intake and superstructure subsystems. Updated chassis commands to support the new autonomous behavior and introduced autonomous utilities to enhance synchronization and safety. Refined the scoring workflow with a short post-outtake delay and controlled intake rollers, and extended drive distance for driveToClosestCoralStation to improve navigation accuracy across varied field conditions. These changes reduce operator intervention and set the foundation for more consistent autonomous performance across missions.
March 2025
February 2025
7 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for frc78/2025-robot. Focused on delivering operator-centric enhancements to intake, climbing, and navigation to improve reliability, precision, and field readiness. No major bugs reported this month. The work aligns with business goals of safer operations, higher mission success rates, and faster decision cycles through better tooling and code quality.
February 2025
7 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for frc78/2025-robot. Focused on delivering operator-centric enhancements to intake, climbing, and navigation to improve reliability, precision, and field readiness. No major bugs reported this month. The work aligns with business goals of safer operations, higher mission success rates, and faster decision cycles through better tooling and code quality.
January 2025
2 Commits • 2 Features
Jan 1, 2025Month: 2025-01 — Key accomplishments and business impact for frc78/2025-robot. Delivered two major feature sets enabling reliable autonomous operation and eased configuration management. No major bugs fixed are recorded in the provided data for this period. Key features and impact: - Autonomous Path Planner: Added predefined routines and paths (e.g., Big Mac, Boiled B Auto) for the pathplanner to establish autonomous navigation and scoring sequences. Commit: 7d377bbfe5a837db52cc637b58aa098f089c6dcc. Impact: repeatable autonomous trajectories and streamlined scoring workflows. - RobotState Enum & Dashboard-Based Control: Introduced a RobotState enum to represent configurations (pivot angle, elevator height, wrist angle), added Smart Dashboard controls for quick state changes, and integrated with SuperStructure for coordinated movement. Commit: b51a6ed981d4250f0552222782364972028afc0f. Impact: faster testing, clearer state management, and safer coordinated motion across subsystems. Overall impact and accomplishments: - Strengthened autonomous capabilities and state management, reducing operator workload and enabling faster iteration cycles. - Improved visibility and control through dashboard integration, contributing to safer and more reliable robot behavior. Technologies/skills demonstrated: - Path planning and predefined autonomous routines integration - Enum design for configuration states and dashboard-driven control - Dashboard (Smart Dashboard) integration and subsystem coordination (SuperStructure) - Commit-level traceability for feature delivery.
2 Commits • 2 Features
Jan 1, 2025Month: 2025-01 — Key accomplishments and business impact for frc78/2025-robot. Delivered two major feature sets enabling reliable autonomous operation and eased configuration management. No major bugs fixed are recorded in the provided data for this period. Key features and impact: - Autonomous Path Planner: Added predefined routines and paths (e.g., Big Mac, Boiled B Auto) for the pathplanner to establish autonomous navigation and scoring sequences. Commit: 7d377bbfe5a837db52cc637b58aa098f089c6dcc. Impact: repeatable autonomous trajectories and streamlined scoring workflows. - RobotState Enum & Dashboard-Based Control: Introduced a RobotState enum to represent configurations (pivot angle, elevator height, wrist angle), added Smart Dashboard controls for quick state changes, and integrated with SuperStructure for coordinated movement. Commit: b51a6ed981d4250f0552222782364972028afc0f. Impact: faster testing, clearer state management, and safer coordinated motion across subsystems. Overall impact and accomplishments: - Strengthened autonomous capabilities and state management, reducing operator workload and enabling faster iteration cycles. - Improved visibility and control through dashboard integration, contributing to safer and more reliable robot behavior. Technologies/skills demonstrated: - Path planning and predefined autonomous routines integration - Enum design for configuration states and dashboard-driven control - Dashboard (Smart Dashboard) integration and subsystem coordination (SuperStructure) - Commit-level traceability for feature delivery.
January 2025
Activity
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Quality Metrics
Correctness81.8%
Maintainability80.0%
Architecture78.2%
Performance70.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJavaKotlin
Technical Skills
Autonomous ProgrammingAutonomous RoutinesCommand-Based FrameworkCommand-Based ProgrammingControl SystemsCoordinate SystemsEmbedded SystemsJavaKotlinMotor ControlNavigationPath PlanningRobot ControlRoboticsSensor Integration
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