
Celine Shao developed and integrated advanced embedded control and monitoring features for the mcgill-robotics/auv-embedded-2025 repository, focusing on autonomous underwater vehicle (AUV) systems. She engineered a unified touchscreen dashboard using C and C++ to display real-time sensor, battery, and thruster data, with ROS-based communication for robust data flow. Her work included depth sensing integration with the MS5837 sensor, touchscreen thruster control, and a dry-test mode to enable safer hardware validation. By combining display driver development, sensor integration, and real-time systems expertise, Celine established end-to-end hardware-software integration, improving operator workflow and laying a foundation for future autonomous AUV capabilities.

July 2025 monthly summary for mcgill-robotics/auv-embedded-2025. Focused on hardware-software integration and UI reliability to improve field operability and operator UX. Delivered two major features, stabilized the UI, and enhanced ROS-based data flow to support safer, more autonomous depth-aware operations.
July 2025 monthly summary for mcgill-robotics/auv-embedded-2025. Focused on hardware-software integration and UI reliability to improve field operability and operator UX. Delivered two major features, stabilized the UI, and enhanced ROS-based data flow to support safer, more autonomous depth-aware operations.
June 2025 monthly summary: Delivered a key feature for autonomous operations by implementing the AUV Unified Control Dashboard with real-time sensor, battery, and thruster display, coupled with ROS-based data paths. A dedicated dry-test mode was added to verify thruster behavior safely, enabling safer hardware testing and faster iteration cycles. The work established end-to-end integration from sensor data ingestion to thruster command publishing, setting a solid foundation for robust autonomous control and ongoing feature expansion.
June 2025 monthly summary: Delivered a key feature for autonomous operations by implementing the AUV Unified Control Dashboard with real-time sensor, battery, and thruster display, coupled with ROS-based data paths. A dedicated dry-test mode was added to verify thruster behavior safely, enabling safer hardware testing and faster iteration cycles. The work established end-to-end integration from sensor data ingestion to thruster command publishing, setting a solid foundation for robust autonomous control and ongoing feature expansion.
May 2025 monthly summary for mcgill-robotics/auv-embedded-2025: Delivered a new Touchscreen Thruster Control and Real-Time Monitoring UI, enabling unified control of thrusters and dry-testing workflows, with a ROS-updated status display on an ILI9341 screen. This feature improves operator situational awareness, reduces setup time, and supports safer, more efficient testing in the field. No major bugs reported this month beyond normal integration challenges; focus was on feature delivery and code quality, with robust testing of the display UI and ROS telemetry. Key outcomes include end-to-end hardware-software integration, improved UX for operators, and ready-to-deploy UI for mission-critical tasks. Technologies demonstrated include embedded UI design, ROS telemetry, ILI9341 display integration, and real-time monitoring.
May 2025 monthly summary for mcgill-robotics/auv-embedded-2025: Delivered a new Touchscreen Thruster Control and Real-Time Monitoring UI, enabling unified control of thrusters and dry-testing workflows, with a ROS-updated status display on an ILI9341 screen. This feature improves operator situational awareness, reduces setup time, and supports safer, more efficient testing in the field. No major bugs reported this month beyond normal integration challenges; focus was on feature delivery and code quality, with robust testing of the display UI and ROS telemetry. Key outcomes include end-to-end hardware-software integration, improved UX for operators, and ready-to-deploy UI for mission-critical tasks. Technologies demonstrated include embedded UI design, ROS telemetry, ILI9341 display integration, and real-time monitoring.
March 2025 — Key delivery: comprehensive ROS libraries and rosserial test suite to strengthen inter-module communication and testing for the AUV embedded project. No major bugs fixed this month. Impact: improved ROS interoperability, data flow reliability, and readiness for downstream features; Skills demonstrated include ROS fundamentals, message/service definitions, rosserial testing, and repository organization.
March 2025 — Key delivery: comprehensive ROS libraries and rosserial test suite to strengthen inter-module communication and testing for the AUV embedded project. No major bugs fixed this month. Impact: improved ROS interoperability, data flow reliability, and readiness for downstream features; Skills demonstrated include ROS fundamentals, message/service definitions, rosserial testing, and repository organization.
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