Gaussian process mapping has become a cornerstone of probabilistic environment modelling in mobile robotics. By treating spatial occupancy or other environmental variables as realizations of a latent ...

PCMag was in Pittsburgh recently and dropped by Carnegie Mellon University to see a navigational robot go through its paces. Xiang Zhi Tan, the lead Ph.D. student on the project, got the robot ready.

Semantic localization and mapping integrates high-level environmental understanding with traditional spatial estimation to enable robots to perceive, interpret and interact with their surroundings ...