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Muskaan Mittal

PROFILE

Muskaan Mittal

Mokam Mittal contributed to the MRoboSub/mrobosub repository by developing and enhancing core robotics features over three months, focusing on perception, control, and maintainability. He migrated the perception system to ROS 2, refactored the ML service node for robust object position handling, and improved launch configurations using Python and YAML. Mokam also designed and refined a multi-degree-of-freedom PID control system, implementing parameterized gains and advanced error handling for stable robotic actuation. His work included Docker-based setup improvements, onboarding-ready documentation, and rigorous code cleanup with type checking, resulting in a more reliable, maintainable codebase that supports scalable development and easier integration.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

17Total
Bugs
0
Commits
17
Features
7
Lines of code
13,994
Activity Months3

Work History

February 2026

5 Commits • 3 Features

Feb 1, 2026

February 2026 – MRoboSub/mrobosub monthly summary focused on delivering business value through streamlined setup, stable control enhancements, and improved code quality. Highlights include onboarding-ready documentation, a more robust PID controller, and cleaner code that supports scalable development.

November 2025

5 Commits • 1 Features

Nov 1, 2025

Month 2025-11 — MRoboSub/mrobosub: Delivered a robust PID Control System Enhancements feature for the robotic platform, including multi-DOF control (heave, pitch, roll, yaw) with refactoring to remove external dependencies and improved documentation.

October 2025

7 Commits • 3 Features

Oct 1, 2025

October 2025 monthly summary for MRoboSub/mrobosub focused on improving perception robustness, ROS 2 readiness, and code quality to deliver more reliable autonomous imagery processing and navigation support. Key work addressed object-position handling and QoS robustness in the ML service node, completed a ROS 2 migration for the perception system with updated launch configurations, and performed targeted code/build cleanup to reduce maintenance burden. While full executor testing awaited an ML model load, the changes establish a solid foundation for production-grade operation and easier future integration and testing.

Activity

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Quality Metrics

Correctness84.8%
Maintainability85.8%
Architecture82.4%
Performance81.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

DockerfileMarkdownPythonXMLYAML

Technical Skills

Code CleanupComputer VisionContainerizationDevOpsDockerMachine LearningPythonPython developmentPython programmingROSROS 2RoboticsType checkingclean code practicescontrol systems

Repositories Contributed To

1 repo

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

MRoboSub/mrobosub

Oct 2025 Feb 2026
3 Months active

Languages Used

DockerfilePythonXMLMarkdownYAML

Technical Skills

Code CleanupComputer VisionContainerizationDevOpsMachine LearningPython

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