Brain Inspired Navigation Blog

Category: Cognitive Navigation

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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iNav 2018: How does the brain know where it is, where it is going, and how to get from one place to another?

The 2nd Interdisciplinary Navigation Symposium (iNav 2018) was held in June 2018 in Québec, Canada, organized by Jeffery Taube, Thomas Wolbers, Kate Jeffery, Laure Rondi-Reig, David Dickman, Mayank Mehta. The meeting aims to bring together a diverse group of scientists …

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Long-distance Navigation and magnetoreception in migratory animals

The excerpt note is about twenty important mechanistic questions related to long-distance animal navigation from Mouritsen, H. (2018).

Mouritsen, H. (2018). Long-distance navigation and magnetoreception in migratory animals. Nature, 558(7708), 50.

Abstract: For centuries, humans have been fascinated by …

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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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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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How to implement the Loop Closure (Map Correction) in RatSLAM?

This excerpt note is about loop closure (map correction) in RatSLAM from Michael et al., 2008 and Michael 2008 book.

Michael Milford, and Gordon F. Wyeth. “Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System…

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How to represent large areas by reusing cells in 2D continuous attractor network model?

The excerpt note is about how to represent large areas by reusing cells in 2D continuous attractor network model in RatSLAM from Michael et al., 2008, 2010, and Samsonovich et al., 1997, McNaughton et al., 2006.

Michael Milford, and Gordon …

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How to represent location based on the place cells？

The excerpt note is about a model of spatial location based on the place cells from the Michael 2008.

Michael Milford. Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning Based on Hippocampal Models. Springer-Verlag Berlin Heidelberg Press, …

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Brain Inspired Navigation Blog

New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience

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