Andrew Davison: robots need object-based SLAM, not scan-then-fit reconstructions

AjdDavison · x · 2026-10-07

Imperial College's Andrew Davison argues explicit scene reconstruction is only useful for robotics if fast and incremental — i.e., object-based SLAM. Instead of scanning a scene into a dense point cloud and fitting objects afterward, robots should fit objects directly and use the object graph as the scene's "map." He cites prior work ReorientBot/MoreFusion (ICRA 2022), which combined explicit reconstruction and motion planning for accurate manipulation, open-sourced on GitHub.

Related event: Imperial College Unveils NodeSLAM: Object-Based SLAM Builds Maps from Object Graphs(2 posts)→

Original post →

More from Embodied

Embodied channel →