CircuitRunners/FRC-2025
Mar 2025 – Mar 2025
1 Month active
Languages Used
Java
Technical Skills
Autonomous ProgrammingAutonomous RoutinesCommand-Based FrameworkComputer VisionEmbedded SystemsJava
Samarth Mahapatra
PROFILE
Samarth Mahapatra
Samarth Mahapatra enhanced the CircuitRunners/FRC-2025 robotics codebase by developing real-time vision processing and refining autonomous scoring routines. He implemented a dedicated vision processing thread in Java, enabling live USB camera feed initialization, frame capture, resolution setup, and on-frame overlays to support operator awareness during teleoperation. Samarth also introduced trigger-based rotation control, improving robot maneuverability. For autonomous routines, he adjusted timeouts and drive speeds in the Level 4 scoring sequence, optimizing execution timing and reliability. His work demonstrated depth in robotics programming, computer vision, and embedded systems, resulting in more responsive teleoperation and efficient autonomous performance without introducing regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
59
Activity Months1
Your Network
8 peopleSame Organization
@circuitrunners.com1
Work History
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025: Delivered core enhancements to vision-based teleoperation and refined Level 4 autonomous scoring. Implemented a dedicated vision processing thread in Robot.java with real-time camera feed processing, USB camera initialization, resolution setup, frame capture, and an on-frame overlay (horizontal line) plus operator-facing visuals stream. Added trigger-based rotation control for teleoperation to improve maneuverability. Refined the Level 4 autonomous scoring timing by adjusting timeouts and drive speeds to optimize auto-score execution. Changes were implemented via updates to Robot.java and ScoreL4Auto.java (two commits) and a pair of commits updating ScoreL4Auto.java. These improvements increase operator situational awareness, reliability of autonomous routines, and potential cycle-time reductions. Technologies demonstrated include real-time video processing, multi-threading concepts, USB camera handling, Java-based robotics control, and telemetry streaming.
3 Commits • 2 Features
Mar 1, 2025March 2025: Delivered core enhancements to vision-based teleoperation and refined Level 4 autonomous scoring. Implemented a dedicated vision processing thread in Robot.java with real-time camera feed processing, USB camera initialization, resolution setup, frame capture, and an on-frame overlay (horizontal line) plus operator-facing visuals stream. Added trigger-based rotation control for teleoperation to improve maneuverability. Refined the Level 4 autonomous scoring timing by adjusting timeouts and drive speeds to optimize auto-score execution. Changes were implemented via updates to Robot.java and ScoreL4Auto.java (two commits) and a pair of commits updating ScoreL4Auto.java. These improvements increase operator situational awareness, reliability of autonomous routines, and potential cycle-time reductions. Technologies demonstrated include real-time video processing, multi-threading concepts, USB camera handling, Java-based robotics control, and telemetry streaming.
March 2025
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Autonomous ProgrammingAutonomous RoutinesCommand-Based FrameworkComputer VisionEmbedded SystemsJavaRoboticsRobotics Programming
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