
Worked on consolidating Gazebo gz-sim development by focusing on the performance and accuracy of lidar raycasting within simulation systems. Developed and integrated a CPU-based lidar system plugin that connects CpuLidarSensor with the physics raycasting pipeline, achieving performance comparable to Gazebo Classic in complex lidar scenarios. Addressed a critical physics edge case by updating test assertions to use positive infinity instead of NaN, which improved the reliability and stability of raycasting results. Contributed new components and systems for lidar data handling, ensuring compatibility with existing simulation pipelines. Utilized C++, XML, and physics integration skills throughout the development process.
Month: 2026-05 — Consolidated Gazebo gz-sim development around performance and accuracy of lidar raycasting. Delivered a CPU-based lidar integration and fixed a critical physics edge case to improve simulation reliability and throughput.
Month: 2026-05 — Consolidated Gazebo gz-sim development around performance and accuracy of lidar raycasting. Delivered a CPU-based lidar integration and fixed a critical physics edge case to improve simulation reliability and throughput.

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