Perception

Terrain Estimation

Terrain estimation is the online reconstruction of the geometry and physical properties of the ground around a mobile robot, typically as elevation maps, traversability maps, or friction and compliance estimates built from depth cameras, LiDAR, and proprioception. Robot-centric elevation mapping frameworks fuse range measurements with pose estimates while handling drift and occlusion, and learned methods infer terrain properties that vision alone cannot observe, such as slipperiness or deformability, from contact feedback.

Why it matters for physical AI

Legged and wheeled robots operating off curated floors must anticipate what the ground will do under load, and terrain-aware perception is a key ingredient separating lab locomotion demos from field deployment.