BitBucketsFRC4183/FRC2025-Reefscape
Oct 2024 – Mar 2025
2 Months active
Languages Used
GradleJava
Technical Skills
Build ConfigurationCI/CDFramework IntegrationRoboticsCommand-Based FrameworkField-Relative Control
arjuncaputo
PROFILE
Arjuncaputo
Arjun Caputo developed foundational robotics software for the BitBucketsFRC4183/FRC2025-Reefscape repository, focusing on swerve drive and field-relative control. He established the base swerve drive code and integrated the AdvantageKit framework, enabling analytics and simulation workflows. Using Java and Gradle, Arjun set up CI/CD pipelines and updated build configurations to streamline ongoing development and testing. He also delivered a field-relative driving command that translates driver inputs into field-oriented chassis speeds, incorporating alliance-specific orientation, deadbands, and speed scaling. This work improved teleoperated control precision and established a robust baseline for future autonomous and driver-assistance features in the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,166
Activity Months2
Your Network
13 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Field-Relative Driving Command delivered for BitBucketsFRC4183/FRC2025-Reefscape, translating driver inputs into field-oriented chassis speeds with alliance-specific orientation, deadbands, and speed scaling for smoother control. This work improves teleop precision, reduces unintended drivetrain movement, and establishes a foundation for future autonomous integration. Impact: enhanced driver performance in teleoperation, potential gains in match consistency, and a solid baseline for field-centric control in Reefscape. Technologies/skills demonstrated include field-oriented control, input shaping (deadbands and speed scaling), and version-controlled feature delivery.
1 Commits • 1 Features
Mar 1, 2025Summary for 2025-03: Field-Relative Driving Command delivered for BitBucketsFRC4183/FRC2025-Reefscape, translating driver inputs into field-oriented chassis speeds with alliance-specific orientation, deadbands, and speed scaling for smoother control. This work improves teleop precision, reduces unintended drivetrain movement, and establishes a foundation for future autonomous integration. Impact: enhanced driver performance in teleoperation, potential gains in match consistency, and a solid baseline for field-centric control in Reefscape. Technologies/skills demonstrated include field-oriented control, input shaping (deadbands and speed scaling), and version-controlled feature delivery.
March 2025
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for BitBucketsFRC4183/FRC2025-Reefscape: Established foundational swerve drive code, integrated AdvantageKit, and set up CI/CD pipelines and licensing. Updated build configurations and project settings to support the integration, positioning the team for rapid autonomous capability development and robust test automation.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for BitBucketsFRC4183/FRC2025-Reefscape: Established foundational swerve drive code, integrated AdvantageKit, and set up CI/CD pipelines and licensing. Updated build configurations and project settings to support the integration, positioning the team for rapid autonomous capability development and robust test automation.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleJava
Technical Skills
Build ConfigurationCI/CDCommand-Based FrameworkField-Relative ControlFramework IntegrationRobot ProgrammingRobotics
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