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

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

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.

��� 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.

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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.

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