
Ritwik Mukherjee developed a foundational architecture for algae-interaction robotics within the Earl-Of-March-FRC/2025-7476-Reefscape repository, focusing on modularity and extensibility. He designed the system to separate perception, decision, and actuation layers, reducing integration risk and supporting collaborative development. Using Java and Python, Ritwik implemented a vision processing pipeline tailored for algae interaction tasks and established robust network communication scaffolding to enable inter-process messaging across subsystems. His work emphasized testability and clear documentation, laying the groundwork for future enhancements. The depth of the architecture reflects careful planning, supporting both competitive scenarios and ongoing development in robotics and computer vision.

Month: 2025-11. Focused on delivering a foundational architecture for algae-interaction robotics within the Reefscape project, emphasizing vision, networking, and modular control. The work lays groundwork for extensibility, testability, and collaboration across subsystems.
Month: 2025-11. Focused on delivering a foundational architecture for algae-interaction robotics within the Reefscape project, emphasizing vision, networking, and modular control. The work lays groundwork for extensibility, testability, and collaboration across subsystems.
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