
Junyu Li developed core robotics and simulation features for the h2r/GHOST repository, focusing on Unity-based point cloud merging, ROS-Unity transform integration, and depth sensing for 3D reconstruction. Leveraging C#, Unity, and compute shaders, Junyu implemented asset pipelines and resource management strategies to improve spatial accuracy, memory stability, and runtime performance. Their work included exclusive single-robot drive control, UI and typography refinements, and enhancements to multi-drive user experience, all aimed at safer, more reliable operator workflows. The engineering demonstrated a strong grasp of 3D graphics, robotics control, and memory management, resulting in maintainable, production-ready solutions for complex simulation needs.

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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