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Found 5 papers, 5 papers with code
NavDreams: Towards Camera-Only RL Navigation Among Humans
In order to successfully solve the navigation task from only images, algorithms must be able to model the scene and its dynamics using only this channel of information.
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments
In this work, we design ways in which unsupervised learning can be used to assist reinforcement learning for robot navigation.
SegMap: Segment-based mapping and localization using data-driven descriptors
We therefore present SegMap: a map representation solution for localization and mapping based on the extraction of segments in 3D point clouds.
SegMap: 3D Segment Mapping using Data-Driven Descriptors
While current methods extract descriptors for the single task of localization, SegMap leverages a data-driven descriptor in order to extract meaningful features that can also be used for reconstructing a dense 3D map of the environment and for extracting semantic information.
SegMatch: Segment based loop-closure for 3D point clouds
We propose SegMatch, a reliable loop-closure detection algorithm based on the matching of 3D segments.
Robotics
