Erdem Toraman

2.5D Object Mapping using Gaussian Processes for Robot Navigation

Mapping and planning are fundamental to robotic navigation in unknown environments. This work introduces a probabilistic framework that combines Gaussian processes (GPs) for 2.5D object modeling with an informative motion planner, using LiDAR-based measurements. The mapping approach employs a flexib