Category: 3D SLAM

Learning to Navigate

The excerpt note is about the novel approach of learning to navigate proposed by DeepMind research team in past few period of time.

How did you learn to navigate the neighborhood of your childhood, to go to a friend’s house, …

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How to build spatial representation model (x, y, z, yaw) for 3D SLAM inspired by the brain?

The excerpt note is some relevant references about 2.5D SLAM inspired by the brain, which is expanded from the RatSLAM system.

Guth F. A. et. al. present an Hippo 3D (DolphinSLAM), expanded from the RatSLAM system, which was initially designed …

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3D SLAM: the grand challenge and ultimate goal for robotic perception.

Real-world applications in GPS-denied environments require robust mapping and perception techniques to enable mobile systems to autonomously navigate complex 3D environments.

Robotic environments are in general 3D, involving translation in three directions, x, y, and z, and rotation around three …

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