Extends ros2_orb_slam3 to build 3D semantic maps by combining U-Net (VGG16 encoder) semantic segmentation with ORB-SLAM3’s 3D point cloud, designed for rover-based lunar terrain mapping.

Supplementary material for the SPICE-HL3 dataset

Autonomous robot for lunar navigation and object interaction, developed during TESP '25 at the Space Robotics Lab (Tohoku University). Features custom robot design, Dijkstra-based path planning, object detection with vision, and gripper control.

Data visualization of Chandrayaan-1's Moon Mineralogy Mapper (M3) data to explore and map potential water concentration on the lunar surface.

Lunar-Executor is an open-source project focused on developing an innovative space exploration robot capable of navigating the rugged terrain of the moon. It aims to revolutionize lunar exploration by providing a cost-effective and efficient solution for conducting various scientific experiments and data collection tasks on the moon's surface.

��� LUNARBOT: Autonomous Lunar Habitat Robot for Smart India Hackathon 2024-25. Multi-robot coordination system with advanced SLAM, AI/ML pipeline, and NASA Artemis alignment.

Lunar Executor is a tool for executing custom scripts within Roblox, providing users with the ability to exploit and modify game features.

A Domain-Driven architecture for the autonomous manufacturing of Rad-Hard quantum sensors from lunar regolith. By utilizing Many-Body Localization (MBL) within an Al-Cu-Fe Quasicrystal framework, the GOLDEN-SIEVE transforms raw lunar elements into a self-healing, topological shield. This repository hosts the full-process simulation

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