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Jack Lingle

PROFILE

Jack Lingle

Jack contributed to the team401/coppercore robotics platform, focusing on drive control and vision system enhancements over five months. He developed features such as normalized joystick deadbands and field-centric driving, improving robot movement precision and reliability. Jack integrated advanced computer vision techniques, including AprilTag detection and PhotonVision-based localization, enabling more accurate 3D pose estimation and robust observation alignment. His work involved Java and Gradle, with careful attention to build configuration, dependency management, and unit testing. By refactoring code, modernizing configuration pipelines, and upgrading dependencies, Jack delivered maintainable, well-documented solutions that improved both autonomous and teleoperated robot performance.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

18Total
Bugs
0
Commits
18
Features
7
Lines of code
3,140
Activity Months5

Your Network

3 people

Work History

January 2026

1 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for team401/coppercore focusing on delivering business value through enhanced control, reliability, and maintainability.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 performance summary for team401/coppercore. Focused on enhancing the Vision System to deliver more accurate 3D pose estimation and robust observation alignment. Implemented 3D Transform support for tag observations and refined offset subtraction. Version increment completed to reflect the changes and prepare for release. Related fixes integrated from Vision Lineup work to improve stability and reliability in perception workflows.

January 2025

13 Commits • 3 Features

Jan 1, 2025

January 2025 — Coppercore (team401) delivered core platform improvements in vision, drive control, and configuration management, enabling safer, more accurate localization and drive decisions, along with streamlined update paths. Focus was on delivering business value through improved localization accuracy, safer driving behavior, and maintainable dependencies/configuration pipelines.

December 2024

2 Commits • 1 Features

Dec 1, 2024

December 2024: Delivered Vision System Upgrade featuring distance-based variance adjustments for camera measurements and AdvantageKit integration for real and simulated cameras. Implemented distance-based variance by scaling standard deviations with the average distance to detected tags, added constants and logic, and integrated AdvantageKit VisionIO interfaces with corresponding build/config updates to support the new vision framework. This work establishes a more accurate, robust localization pipeline across real and simulated environments and lays the groundwork for further vision improvements.

November 2024

1 Commits • 1 Features

Nov 1, 2024

Month: 2024-11 — Focused on delivering a more precise, responsive drive system for coppercore, while strengthening code organization and build reliability. Key work included a new drive command with joystick input processing, a package refactor for clearer interfaces, and build updates to include essential WPI libraries and math dependency. These changes improve movement accuracy, reduce joystick-induced variability, and set the foundation for further autonomous and teleop enhancements.

Activity

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Quality Metrics

Correctness87.8%
Maintainability86.6%
Architecture85.0%
Performance77.8%
AI Usage21.2%

Skills & Technologies

Programming Languages

GradleJava

Technical Skills

AdvantageKit IntegrationAprilTag DetectionBuild ConfigurationBuild System ConfigurationCommand-Based FrameworkComputer VisionControl SystemsCoordinate TransformationDependency ManagementDocumentationEmbedded SystemsGradleJSON ParsingJavaJava Development

Repositories Contributed To

1 repo

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

team401/coppercore

Nov 2024 Jan 2026
5 Months active

Languages Used

JavaGradle

Technical Skills

Command-Based FrameworkEmbedded SystemsJavaRobot ControlAdvantageKit IntegrationComputer Vision