This chapter explores mapping, localization, and navigation techniques in robotics, highlighting the role of deep learning in processing high-dimensional sensor data. It discusses various mapping representations - geometric, voxel-based, and semantic - with models like CLIP and NeRF. Additionally, it covers localization methods, diffusion-based navigation strategies like Mobility VLA, and advances in hierarchical learning that improve robot adaptability in complex environments.
Mapping, Localization, and Navigation
AI for Robotics ; Chapter : 6 ; 265-309
2025-05-03
45 pages
Article/Chapter (Book)
Electronic Resource
English
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