
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.

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.
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.
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.
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 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.
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.
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