FRC3407/2025-Reefscape
Mar 2025 – Apr 2025
2 Months active
Languages Used
DockerfileJavaShellJSON
Technical Skills
AprilTag NavigationAutonomous NavigationAutonomous ProgrammingAutonomous RoutinesBuild ToolsCode Formatting
CalSch
PROFILE
Calsch
Cal Schwick developed autonomous navigation and control features for the FRC3407/2025-Reefscape robotics repository over a two-month period. He implemented AprilTag-based pose estimation and vision-guided path planning using Java and integrated PhotonVision for robust computer vision. His work included creating autonomous routines for coral reef scoring, introducing PID-controlled drive commands for precise X/Y movement, and refining subsystem integration to improve reliability under variable field conditions. Through code formatting, dependency management, and enhanced documentation, Cal improved system maintainability and repeatability. The resulting enhancements reduced operator intervention, increased autonomous task completion rates, and enabled smoother, more accurate robot operation during field tests.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
17Total
Bugs
1
Commits
17
Features
4
Lines of code
1,039
Activity Months2
Your Network
9 people
Work History
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly performance summary for FRC3407/2025-Reefscape. Focused on delivering autonomous navigation enhancements and more precise motion control to improve mission success rates and reduce operator intervention. Key features delivered include Vision Auto path planning with reef-targeting and AprilTag-based autonomous positioning to improve autonomous navigation and object interaction, along with a PID-controlled DriveDistanceCommand to achieve smoother and more accurate X/Y distance control. No major bugs were documented in this period in the provided data, but the work enhances reliability and repeatability of autonomous routines across tasks. Overall impact: higher autonomous task completion rates, improved targeting accuracy, and smoother operation during field tests, contributing to faster cycles and better scoring opportunities. Technologies and skills demonstrated: vision-based path planning, AprilTag localization, PID control, closed-loop motion, and robust code documentation and traceability.
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly performance summary for FRC3407/2025-Reefscape. Focused on delivering autonomous navigation enhancements and more precise motion control to improve mission success rates and reduce operator intervention. Key features delivered include Vision Auto path planning with reef-targeting and AprilTag-based autonomous positioning to improve autonomous navigation and object interaction, along with a PID-controlled DriveDistanceCommand to achieve smoother and more accurate X/Y distance control. No major bugs were documented in this period in the provided data, but the work enhances reliability and repeatability of autonomous routines across tasks. Overall impact: higher autonomous task completion rates, improved targeting accuracy, and smoother operation during field tests, contributing to faster cycles and better scoring opportunities. Technologies and skills demonstrated: vision-based path planning, AprilTag localization, PID control, closed-loop motion, and robust code documentation and traceability.
April 2025
March 2025
13 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on business value and technical achievements for FRC3407/2025-Reefscape. Delivered core autonomous capabilities and reliability improvements enabling repeatable reef missions with reduced operator intervention.
March 2025
13 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on business value and technical achievements for FRC3407/2025-Reefscape. Delivered core autonomous capabilities and reliability improvements enabling repeatable reef missions with reduced operator intervention.
Activity
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Quality Metrics
Correctness87.8%
Maintainability86.0%
Architecture85.4%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileJSONJavaShell
Technical Skills
AprilTag NavigationAutonomous NavigationAutonomous ProgrammingAutonomous RoutinesBuild ToolsCode FormattingCommand-Based FrameworkCommand-Based ProgrammingComputer VisionComputer Vision IntegrationControl SystemsDependency ManagementDriver ControlsEmbedded SystemsJava
Repositories Contributed To
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