Team-4536/FRC-2025
Feb 2025 – Mar 2025
2 Months active
Languages Used
PythonTOMLtext
Technical Skills
Code FormattingControl SystemsDependency ManagementEmbedded SystemsPythonRobotics
connormaass
PROFILE
Connormaass
Connor Maass developed and enhanced control subsystems for Team-4536/FRC-2025, focusing on reliability and maintainability over a two-month period. He implemented a state-machine-based IntakeChute and Arm control, refining input mappings and timing to improve driver responsiveness and predictability. His work included hardware-safe configuration of brushless motors, port alignment, and current limiting, ensuring safe and efficient subsystem testing. Connor integrated Python tooling such as the Black formatter and VS Code auto-formatting to standardize code quality and accelerate onboarding. His contributions demonstrated strong skills in Python, embedded systems, and robotics programming, resulting in safer, more maintainable, and test-ready robot control software.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
4
Lines of code
302
Activity Months2
Your Network
12 people
Work History
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 — Team-4536/FRC-2025 chute subsystem update: delivered two features and prepared for testing. Key features: 1) Chute motor hardware configuration and safety enhancements—brushless motor configuration, motor port alignment to hardware specs, reverse limit switch enablement, and current limit tuning to support safe testing (commits a2305dde650b472c0147cff8ae7d9792bacb846a; 68b2545ce1b8e41da4aa2d625fafa6a01c993308). 2) IntakeChute control state machine refactor with a new UP state and defined setpoint; updated robot control input mapping (commit c4ce81619e47f77ea6e081c6e46b2a93809bcc60). Major bugs fixed: none formally logged; focus was on stabilization and readiness for on-robot testing of the chute subsystem. Overall impact and accomplishments: hardware-safe, test-ready chute subsystem with improved control logic and reduced integration risk, enabling faster validation cycles and safer testing. Technologies/skills demonstrated: embedded hardware configuration (brushless motors, port mapping, reverse limit switches, current limiting), state-machine design, control input mapping, and end-to-end hardware-software integration.
3 Commits • 2 Features
Mar 1, 2025March 2025 — Team-4536/FRC-2025 chute subsystem update: delivered two features and prepared for testing. Key features: 1) Chute motor hardware configuration and safety enhancements—brushless motor configuration, motor port alignment to hardware specs, reverse limit switch enablement, and current limit tuning to support safe testing (commits a2305dde650b472c0147cff8ae7d9792bacb846a; 68b2545ce1b8e41da4aa2d625fafa6a01c993308). 2) IntakeChute control state machine refactor with a new UP state and defined setpoint; updated robot control input mapping (commit c4ce81619e47f77ea6e081c6e46b2a93809bcc60). Major bugs fixed: none formally logged; focus was on stabilization and readiness for on-robot testing of the chute subsystem. Overall impact and accomplishments: hardware-safe, test-ready chute subsystem with improved control logic and reduced integration risk, enabling faster validation cycles and safer testing. Technologies/skills demonstrated: embedded hardware configuration (brushless motors, port mapping, reverse limit switches, current limiting), state-machine design, control input mapping, and end-to-end hardware-software integration.
March 2025
February 2025
9 Commits • 2 Features
Feb 1, 2025February 2025 performance for Team-4536/FRC-2025 focused on reliability, driver control, and developer productivity. Delivered a state-machine based IntakeChute and Arm control, strengthened by refined input mappings and timing adjustments, which improved predictability and responsiveness for drivers. Implemented Black code formatter and VS Code auto-formatting to standardize code quality and speed up onboarding. Fixed critical control flow bug and controller input mis-maps to reduce field failures and debugging time. These efforts collectively reduce risk in field operation, shorten iteration cycles, and improve maintainability and collaboration across the team. Technologies demonstrated include state-machine design, real-time input handling, tuning, Python tooling, and modern code-quality tooling.
February 2025
9 Commits • 2 Features
Feb 1, 2025February 2025 performance for Team-4536/FRC-2025 focused on reliability, driver control, and developer productivity. Delivered a state-machine based IntakeChute and Arm control, strengthened by refined input mappings and timing adjustments, which improved predictability and responsiveness for drivers. Implemented Black code formatter and VS Code auto-formatting to standardize code quality and speed up onboarding. Fixed critical control flow bug and controller input mis-maps to reduce field failures and debugging time. These efforts collectively reduce risk in field operation, shorten iteration cycles, and improve maintainability and collaboration across the team. Technologies demonstrated include state-machine design, real-time input handling, tuning, Python tooling, and modern code-quality tooling.
Activity
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Quality Metrics
Correctness83.4%
Maintainability86.8%
Architecture76.6%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTOMLtext
Technical Skills
Code FormattingControl SystemsDependency ManagementEmbedded SystemsPythonRoboticsRobotics ProgrammingState Machines
Repositories Contributed To
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