ftcteam5898/GalacticLions-Starter
Mar 2025 – Mar 2025
1 Month active
Languages Used
Java
Technical Skills
DC Motor ControlFTCGamepad ControlHardware ControlHardware IntegrationJava
Eric
PROFILE
Eric
Eric Davis developed four integrated teleoperation and sensor telemetry features for the ftcteam5898/GalacticLions-Starter repository, focusing on enhancing robot control and operator feedback. He implemented joystick-driven DC motor and servo controls in Java, enabling smoother teleop operation and flexible hardware integration. Eric added real-time distance and color sensor telemetry, including LED toggling and touch sensor-driven servo actuation, to improve situational awareness and control reliability. His approach consolidated code across multiple hardware interfaces, supporting maintainability and future extensibility. The work demonstrated depth in robotics, sensor integration, and gamepad control, resulting in a more responsive and robust teleoperation software stack.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
207
Activity Months1
Your Network
12 peopleSame Organization
@lakeviewacademy.org4
Work History
March 2025
6 Commits • 4 Features
Mar 1, 2025March 2025 performance summary for ftcteam5898/GalacticLions-Starter focused on teleoperation and sensor telemetry enhancements. Delivered four major features including teleoperation system enhancements, distance sensor telemetry, color sensor telemetry with LED control, and touch sensor-driven servo control. The work improves operator situational awareness, control reliability, and extensibility of the teleop stack, aligning with business value of safer, more responsive robot operation and easier future iterations.
6 Commits • 4 Features
Mar 1, 2025March 2025 performance summary for ftcteam5898/GalacticLions-Starter focused on teleoperation and sensor telemetry enhancements. Delivered four major features including teleoperation system enhancements, distance sensor telemetry, color sensor telemetry with LED control, and touch sensor-driven servo control. The work improves operator situational awareness, control reliability, and extensibility of the teleop stack, aligning with business value of safer, more responsive robot operation and easier future iterations.
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
DC Motor ControlFTCGamepad ControlHardware ControlHardware IntegrationJavaRoboticsSensor IntegrationTeleOp ControlTeleoperationTeleoperation Control
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