
Contributed to the mcgill-robotics/auv-embedded-2025 repository by developing and refining embedded systems for autonomous underwater vehicle power and actuator modules. Delivered ROS-integrated frameworks for power monitoring, thruster testing, and real-time status display, using C++, Arduino, and Python to bridge hardware and software. Implemented robust USB connectivity, sensor calibration, and automated test pipelines with Docker and ROS launch files, enabling scalable validation and reliable data acquisition. Enhanced code maintainability through refactoring, legacy cleanup, and improved build systems. Addressed hardware-software integration challenges by unifying data reporting and streamlining test structures, resulting in accelerated iteration cycles and improved system reliability for robotics applications.
August 2025 monthly summary for mcgill-robotics/auv-embedded-2025. Delivered real-time status updates on the main UI by introducing a ROS subscriber for status messages, with change-detection to avoid unnecessary refreshes and build integration for the display module. Conducted actuator subsystem cleanup: removed obsolete 2024_actuator code, fixed rosserial compilation issues, and aligned the test structure to prevent conflicts and improve maintainability. These changes boosted UI responsiveness, system reliability, and maintainability, while reducing build errors and enabling faster iteration for future features. Technologies demonstrated include ROS, rosserial, embedded C/C++, and CI/build integration. Business value: clearer, more reliable status visibility for operators; easier onboarding and future feature work; reduced maintenance overhead.
August 2025 monthly summary for mcgill-robotics/auv-embedded-2025. Delivered real-time status updates on the main UI by introducing a ROS subscriber for status messages, with change-detection to avoid unnecessary refreshes and build integration for the display module. Conducted actuator subsystem cleanup: removed obsolete 2024_actuator code, fixed rosserial compilation issues, and aligned the test structure to prevent conflicts and improve maintainability. These changes boosted UI responsiveness, system reliability, and maintainability, while reducing build errors and enabling faster iteration for future features. Technologies demonstrated include ROS, rosserial, embedded C/C++, and CI/build integration. Business value: clearer, more reliable status visibility for operators; easier onboarding and future feature work; reduced maintenance overhead.
In April 2025, delivered an automated AUV thruster test framework and related calibration workflow for the mcgill-robotics/auv-embedded-2025 project. The framework includes Docker-based environments, ROS messaging, ROS launch configurations, and end-to-end data acquisition and automation scripts to run thruster tests and calibrations. Implemented test data handling, serial communication settings, and sensor calibration adjustments to support repeatable, hardware-aligned validation.
In April 2025, delivered an automated AUV thruster test framework and related calibration workflow for the mcgill-robotics/auv-embedded-2025 project. The framework includes Docker-based environments, ROS messaging, ROS launch configurations, and end-to-end data acquisition and automation scripts to run thruster tests and calibrations. Implemented test data handling, serial communication settings, and sensor calibration adjustments to support repeatable, hardware-aligned validation.
February 2025 performance summary for mcgill-robotics/auv-embedded-2025: Delivered an integrated thruster test framework with ROS coordination and hardware I/O, enabling end-to-end testing of thruster commands and thrust data. Implemented HX711_ADC-based sensor integration with calibration for a thruster force sensor and ROS publishing. Consolidated data reporting by publishing all sensor and thruster data as a single Float32MultiArray with configurable sensing via defines and improved initialization robustness. Resolved a critical syntax bug in main.cpp and ensured reliable publishing of thruster force to ROS topics. Added hardware interface improvements (button circuitry and pin definitions) to support robust test scenarios. These efforts enhance testing reliability, accelerate iteration cycles, and provide a clear data pathway for performance evaluation.
February 2025 performance summary for mcgill-robotics/auv-embedded-2025: Delivered an integrated thruster test framework with ROS coordination and hardware I/O, enabling end-to-end testing of thruster commands and thrust data. Implemented HX711_ADC-based sensor integration with calibration for a thruster force sensor and ROS publishing. Consolidated data reporting by publishing all sensor and thruster data as a single Float32MultiArray with configurable sensing via defines and improved initialization robustness. Resolved a critical syntax bug in main.cpp and ensured reliable publishing of thruster force to ROS topics. Added hardware interface improvements (button circuitry and pin definitions) to support robust test scenarios. These efforts enhance testing reliability, accelerate iteration cycles, and provide a clear data pathway for performance evaluation.
January 2025 monthly summary for mcgill-robotics/auv-embedded-2025: Delivered foundational ROS-based power module integration, strengthened hardware connectivity, and restructured testing to support scalable validation. Achievements include ROS1/micro-ROS communication for the power module, robust USB reconnection and error handling, and a redesigned testing workspace. These efforts improve reliability, accelerate validation cycles, and establish cross-ROS (ROS1/ROS2) readiness for propulsion-ready power control.
January 2025 monthly summary for mcgill-robotics/auv-embedded-2025: Delivered foundational ROS-based power module integration, strengthened hardware connectivity, and restructured testing to support scalable validation. Achievements include ROS1/micro-ROS communication for the power module, robust USB reconnection and error handling, and a redesigned testing workspace. These efforts improve reliability, accelerate validation cycles, and establish cross-ROS (ROS1/ROS2) readiness for propulsion-ready power control.

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