
Contributed to Team302/2025Reefscape by developing and refining autonomous navigation, motion planning, and vision integration for robotics in reef-like competition environments. Focused on robust path planning and state machine automation, the work included implementing zone-based targeting for barge navigation, tuning trajectory generation, and enhancing pose estimation. Integrated C++ and Python to optimize control systems and embedded software, while configuring vision sensors for reliable field element detection. Improvements to scoring mechanisms and code maintainability were achieved through targeted refactoring and runtime PID support. The engineering approach emphasized safety, observability, and reduced operator intervention, supporting consistent autonomous performance in complex scenarios.
April 2025 monthly work summary for Team302/2025Reefscape focused on delivering robust driving/navigation capabilities, refining motion planning, integrating vision systems, and improving code quality to support reliable scoring in competition scenarios.
April 2025 monthly work summary for Team302/2025Reefscape focused on delivering robust driving/navigation capabilities, refining motion planning, integrating vision systems, and improving code quality to support reliable scoring in competition scenarios.
March 2025 performance for Team302/2025Reefscape focused on delivering robust autonomous navigation to reef assets, safer barge interfacing, and tuned trajectory planning for complex environments, while strengthening safety and observability. Key enhancements were released across autonomous navigation, path planning, and state management, with a heavy emphasis on zone validation and telemetry to support reliable field operations. The work reduces operator intervention, increases autonomous throughput, and improves predictability in reef-like scenarios.
March 2025 performance for Team302/2025Reefscape focused on delivering robust autonomous navigation to reef assets, safer barge interfacing, and tuned trajectory planning for complex environments, while strengthening safety and observability. Key enhancements were released across autonomous navigation, path planning, and state management, with a heavy emphasis on zone validation and telemetry to support reliable field operations. The work reduces operator intervention, increases autonomous throughput, and improves predictability in reef-like scenarios.

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