Developed a realistic digital twin of the world’s largest 3D printer using SolidWorks, ROS2, and Gazebo. Implemented a ROS2 skill server leveraging ros2_control to enable dynamic printhead switching and homing procedures. Simulated coordinated robotic arm operations to correct extrusion errors, improving efficiency and operational safety.

Researching coordination algorithms for heterogeneous robot teams performing excavation and transport tasks on the lunar surface. Evaluating system reliability under communication loss and robot malfunction scenarios, and proposing lightweight, fault-tolerant methods to enhance robustness with minimal computational overhead.

Team Lead for UMaine’s URC 2026 team designing a Mars rover capable of autonomous navigation, SLAM, and object detection. Overseeing software development with ROS2, hardware interfacing, computer vision (OpenCV, YOLO), control systems, and team logistics including outreach and funding.

Led UMaine’s Lunabotics team to finalist position in the 2025 NASA competition. Developed a rover capable of constructing a lunar berm, integrating autonomy (navigation and control), video streaming, teleoperation, and robust communication systems (UART, WiFi). Managed systems engineering, power design, and team coordination.

Worked on localizing a UFactory xArm using a Basler camera and AprilTags. Utilized MoveIt2 for motion planning and Foxglove for visualization. Developed a custom Docker environment for scalable deployment of multiple arms supporting LAAM printers.

Contributed to the NASA Eclipse Project, where I developed a multi-camera real-time video streaming system in Python and C for high-altitude balloon missions. I integrated camera payloads with embedded systems for atmospheric data collection and supported payload setup, testing, and flight operations to ensure reliable mission performance.

I developed UAV automation systems to collect and analyze agricultural data for crop monitoring applications. Using machine learning frameworks such as PyTorch and Scikit-Learn, I built models to estimate wild blueberry health and yield from aerial imagery. This work earned me the CUGR Fellowship, funded by the NASA-affiliated Maine Space Grant Consortium (MSGC), in recognition of outstanding undergraduate research.