Shrey worked on the NRGRobot2025 repository, focusing on improving the reliability of autonomous navigation by addressing a stability issue in the vision processing loop. He implemented a fix in Java that ignores empty updates from the PhotonVision system, reducing noise and preventing invalid data from affecting the robot’s pose estimation. This algorithm optimization enhanced the robot’s ability to maintain consistent behavior during real-world tasks by minimizing perception-related failure modes. Shrey documented the change clearly in the codebase, referencing the relevant issue for future maintainability. His work demonstrated depth in robotics, Java development, and algorithmic problem-solving within a collaborative engineering environment.