Category: Brain-Inspired Navigation

Human Spatial Navigation

The first book to comprehensively explore the cognitive foundations of human spatial navigation.

Arne D. Ekstrom, Hugo J. Spiers, Véronique D. Bohbot & R. Shayna Rosenbaum

Hardcover 2018 55.00 43.00 ISBN9780691171746 216 pp. 7 x 10 20 color + 40 …

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Patch Normalization for Visual Template Matching based on Panoramic Images in Bio-inspired Navigation System

The excerpt note is about how to enhance the signal-to-noise ratio by using patch normalization in each image to enhance edge information and eliminate image intensity variation from Edward P. et al. IJRR 2016.

Patch normalization is performed by

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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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