
Junyu Li contributed to the h2r/GHOST repository by developing and refining Unity-based robotics control and 3D reconstruction features. Over three months, Junyu built point cloud merging and ROS-Unity transform integration, enabling accurate spatial alignment of lidar data within Unity scenarios. Using C#, Unity, and compute shaders, Junyu enhanced depth sensing, point cloud processing, and memory management to improve 3D reconstruction fidelity and runtime stability. The work included UI and asset refinements for better operator experience, exclusive single-robot drive control to reduce interference, and robust resource management, demonstrating a thoughtful approach to maintainable engineering and production reliability.
Monthly summary for 2025-04 focused on delivering core features for h2r/GHOST, improving UI/UX polish, and reinforcing operator safety and clarity. No critical bugs reported this period; emphasis on business value and maintainable engineering.
Monthly summary for 2025-04 focused on delivering core features for h2r/GHOST, improving UI/UX polish, and reinforcing operator safety and clarity. No critical bugs reported this period; emphasis on business value and maintainable engineering.
February 2025 monthly summary for h2r/GHOST: Focused on delivering depth sensing enhancements for 3D reconstruction, stabilizing resource management to prevent memory leaks, and improving multi-drive UX. Key features shipped include Depth Sensing and Point Cloud Processing Enhancements, ICP Resource Management and Stability fixes, and Multi-Drive Support with Joystick UX. These efforts improve reconstruction fidelity, runtime stability, and user experience for multi-drive operations, translating to reliable performance in production environments.
February 2025 monthly summary for h2r/GHOST: Focused on delivering depth sensing enhancements for 3D reconstruction, stabilizing resource management to prevent memory leaks, and improving multi-drive UX. Key features shipped include Depth Sensing and Point Cloud Processing Enhancements, ICP Resource Management and Stability fixes, and Multi-Drive Support with Joystick UX. These efforts improve reconstruction fidelity, runtime stability, and user experience for multi-drive operations, translating to reliable performance in production environments.
Dec 2024 Monthly Summary for h2r/GHOST: Focused on delivering Unity-based point cloud merging and ROS-Unity transform integration, establishing a robust asset pipeline and data translation layer to improve asset fusion, spatial accuracy, and simulation fidelity. The work aligns with business goals of faster integration of lidar/point cloud data into Unity scenarios and improved interoperability between ROS and Unity.
Dec 2024 Monthly Summary for h2r/GHOST: Focused on delivering Unity-based point cloud merging and ROS-Unity transform integration, establishing a robust asset pipeline and data translation layer to improve asset fusion, spatial accuracy, and simulation fidelity. The work aligns with business goals of faster integration of lidar/point cloud data into Unity scenarios and improved interoperability between ROS and Unity.

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