Category: Brain-Inspired Navigation

3D Spatial Representation: Coding of 3D space by 3D Grid Cells, 3D Border Cells, 3D Head Direction Cells

Latest reports about 3D Spatial Representation by Gily Ginosar at Weizmann Institute of Science and Misun Kim at UCL in the Grid Cell Meeting on May 21-22, 2018. (http://www.cognitive-map.com/img/GCMposters.pdf )

Gily Ginosar, Weizmann Institute of Science

Grid cells recorded

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Navigation in AI-Brain and Bio-Brain

Most animals, including humans, are able to flexible navigate the complex world. They can explore new areas, returning quickly to remembered places, and taking shortcuts. The recent discovery in neuroscience, including place cells, grid cells, head direction cells, border cells, …

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How to match panoramas images in opposite viewpoint for visual route recognition?

These references are about key matching methods of panoramas images in forward and backward direction for visual route recognition in brain inspired navigation.

Milford Michael. “Visual route recognition with a handful of bits.” Proc. 2012 Robotics: Science and …

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Exciting New Bio-inspired Robots Include Rolling Spider, Flying Fox From Festo

Festo has just announced its two newest bionic learning network robots—one is a very convincing flying fox, and the other is a walking, tumbling robot inspired by a Saharan spider. Over the last few years, we’ve met ants, butterflies, …

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How to build robust visual template matching for robot place recognition and navigation?

The following are some references about visual template matching, including theory and demo.

Corke, Peter. Robotics, Vision and Control: Fundamental Algorithms In MATLAB® Second, Completely Revised. Vol. 118. Springer, 2017, pp. 376-392.

Milford, M. and Wyeth, G., 2010.

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How to process panoramic images for scene recognition?

The excerpt note is about panoramic images from Zhang et al., 2007.

Zhang, A. M. (2007). Robust appearance based visual route following in large scale outdoor environments. Proceedings of the Australasian Conference on Robotics and Automation, Brisbane, Australia, 2007.…

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How to implement appearance-based scene recognition using panoramic images for persistent navigation and mapping in open areas?

The excerpt note is about vision processing and appearance-based recognition using panoramic images for persistent navigation and mapping in open areas from Michael et al., 2010.

Michael Milford, and Gordon Wyeth. “Persistent Navigation and Mapping using a Biologically Inspired

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