RecNet: Invertible Point Cloud Encoding for Multi-Robot Map Sharing

RecNet introduces a transformative approach to address resource-constrained robots and effective place recognition in multi-robotic systems. By compressing 3D point clouds into range images and utilizing lightweight descriptors, RecNet enables efficient map sharing among robots.