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Samarth Mahapatra

PROFILE

Samarth Mahapatra

Samarth Mahapatra developed advanced robotics features for the CircuitRunners/FRC-2025 repository, focusing on autonomous navigation, vision-driven localization, and precise motion control. He implemented AprilTag-based multi-camera pose estimation and automated alignment routines, enhancing the robot’s ability to localize and interact with field elements. Using Java and OpenCV, Samarth introduced ProfiledPIDControllers with trapezoidal velocity profiles for smoother drive and elevator movements, while also refining subsystem integration and command-based programming. His work addressed reliability issues, such as race conditions in elevator control, and improved scoring consistency, demonstrating a strong grasp of embedded systems, control theory, and real-time sensor integration in robotics applications.

Overall Statistics

Feature vs Bugs

73%Features

Repository Contributions

27Total
Bugs
3
Commits
27
Features
8
Lines of code
2,165
Activity Months3

Work History

April 2025

16 Commits • 3 Features

Apr 1, 2025

April 2025 focused on upgrading perception, motion control, and stability for CircuitRunners/FRC-2025. The Vision-driven Alignment and Localization overhaul delivers robust AprilTag-based localization with multi-camera pose estimation, automated reef-alignment, and HP station targeting, supported by new vision subsystem and mapping logic. Motion control improvements introduce ProfiledPIDControllers with trapezoidal velocity profiles for Drive and Elevator, delivering smoother trajectories and improved accuracy. Maintenance work tightened autonomous behaviors, adjusted elevator current limits and idle brake, and tuned drive/elevator parameters for stability and power efficiency. A bug fix ensures MoveToIntake waits for elevator completion, eliminating a race condition during descent. Overall, these efforts enhance autonomy reliability, reduce operator intervention, and improve mission success rates.

March 2025

10 Commits • 5 Features

Mar 1, 2025

March 2025 performance highlights for CircuitRunners/FRC-2025: Delivered high-value features for teleop and autonomous modes, fixed critical reliability issue, and advanced perception and navigation capabilities. Key items delivered: PID-based Claw/Arm Controls with quick arm reset; claw reset state bug fix; Autonomous Scoring and Post-Score Positioning improvements; Algae2 scoring sequence; Vision and Distance Sensing enhancements with OpenCV and rezero. These efforts improved scoring reliability, reduced cycle times, and enhanced operator responsiveness. Skills demonstrated include PID control, OpenCV vision, field-centric rezero, distance-sensor data handling, and modular command architecture.

February 2025

1 Commits

Feb 1, 2025

February 2025 Monthly Summary: Demonstrated steady execution of features and targeted bug fixes in the CircuitRunners/FRC-2025 repository, with a focus on reliability, safety, and control precision for the robot elevator system. The changes deliver measurable business value in competition readiness and overall robot performance.

Activity

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Quality Metrics

Correctness81.8%
Maintainability82.6%
Architecture79.0%
Performance74.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSONJava

Technical Skills

AprilTag DetectionAprilTagsAutonomous NavigationAutonomous RoutinesAutonomous routinesCommand GroupsCommand-Based FrameworkCommand-Based ProgrammingCommand-Based Robot ProgrammingCommand-based programmingComputer VisionControl SystemsEmbedded SystemsField-Oriented ControlJava

Repositories Contributed To

1 repo

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

CircuitRunners/FRC-2025

Feb 2025 Apr 2025
3 Months active

Languages Used

JavaJSON

Technical Skills

Embedded SystemsRoboticsAutonomous routinesCommand GroupsCommand-Based FrameworkCommand-Based Robot Programming

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