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Theodore Kranz

PROFILE

Theodore Kranz

During two months on the FRC1732/2025-1732Bot repository, Krantz developed and refined core robotics features focused on operator control and sensing. He consolidated the operator interface using Java, introducing a base class for easier tuning and improved PID control visibility, which enhanced scoring accuracy and teleop reliability. In C++ and Arduino, he upgraded RGB status lights and LED feedback, resolving persistent flashing issues and expanding color schemes to reflect robot states. Krantz also integrated a SparkMax absolute encoder for robust joint sensing and added a beam-break sensor for claw detection, improving hardware-software integration and streamlining debugging and maintenance workflows.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

8Total
Bugs
0
Commits
8
Features
3
Lines of code
947
Activity Months2

Work History

February 2025

5 Commits • 2 Features

Feb 1, 2025

February 2025 summary for FRC1732/2025-1732Bot: Delivered two core features with targeted fixes, improving operator feedback and sensing reliability. RGB Status Lights and LED Visual Feedback were upgraded to provide clear, multi-mode operator feedback; a persistent LED flash issue was fixed and color schemes expanded to reflect robot states. Joint and Claw Sensing Enhancements integrated SparkMax absolute encoder for robust joint position readings and added a beam-break sensor for claw object detection. The month included code cleanup and hardware-software integration improvements to shorten debugging cycles and increase system stability.

January 2025

3 Commits • 1 Features

Jan 1, 2025

January 2025: Delivered a focused update to operator control and input handling for FRC1732/2025-1732Bot, consolidating the operator interface, refining input mappings, and tuning control loops to improve scoring accuracy and reliability. Implemented base-class operator interface with enhanced PID visibility, refined intake control with rotational deadbands and intuitive trigger reassignment, and tuned joint setpoints for different scoring levels. These changes enable faster iteration, more predictable teleop, and smoother integration with autonomous modes.

Activity

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Quality Metrics

Correctness85.0%
Maintainability85.0%
Architecture82.4%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Java

Technical Skills

ArduinoC++Command-Based ProgrammingEmbedded SystemsJavaJava DevelopmentLED ControlOperator Interface ConfigurationOperator Interface DesignPID ControlRobot ControlRoboticsSensor IntegrationSubsystem Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

FRC1732/2025-1732Bot

Jan 2025 Feb 2025
2 Months active

Languages Used

JavaC++

Technical Skills

Command-Based ProgrammingEmbedded SystemsJavaOperator Interface ConfigurationOperator Interface DesignPID Control