FANGWEN YU

Animals Teach Robots to Find Their Way

By Chris Edwards
Communications of the ACM, August 2018, Vol. 61 No. 8, Pages 14-16. 10.1145/3231168

Mammalian research has underpinned the key models used in robot development. Analogs of neural networks found in the rat’s brain underpin the most widespread

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How landmark and self-motion cues combine during navigation to generate spatial representations?

The excerpt note is about how combine landmark and self-motion cues for navigation from Campbell et al., 2018.

Campbell, Malcolm G., Samuel A. Ocko, Caitlin S. Mallory, Isabel I. C. Low, Surya Ganguli & Lisa M. Giocomo. Principles governing the

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How do bats navigate in 3D environments?

The excerpt note is about bat navigation from Yovel & Ulanvosky 2017.

Yovel, Yossi, and Nachum Ulanvosky. “1.18 Bat Navigation.” Learning and Memory: A Comprehensive Reference (2017): 333.

Navigation, the capacity to plan and execute a goal-directed path,

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Biologically inspired visual odometry based on the computational model of grid cells

A biologically inspired visual odometry based on the computational model of grid cells, which is developed based on the the source code of the computational model of grid cells: http://clm.utexas.edu/fietelab/code.htm, and LIBVISO2: http://www.cvlibs.net/software/libviso/, by Huimin Lu, Junhao Xiao, …

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How to unlock the secrets of 3D navigation in the brain?

A Nature  News Feature report the research story of 3D navigation in  Nachum Ulanovsky lab. Titled “100 bats and a long, dark tunnel: one neuroscientist’s quest to unlock the secrets of 3D navigation” published in Nature News at …

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Path Integration in a Continuous Attractor Network Model

The excerpt note is about path integration with continuous attractor network according to McNaughton B. L., et al., 2006.

McNaughton, Bruce L., Francesco P. Battaglia, Ole Jensen, Edvard I. Moser, and May-Britt Moser. “Path integration and the neural basis

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Why is it a so difficult problem for navigating in a three-dimensional world?

The excerpt note is about spatial cognition in non-horizontal environments by Jeffery K. J. et al., 2013.

Jeffery, Kathryn J., Aleksandar Jovalekic, Madeleine Verriotis, and Robin Hayman. “Navigating in a three-dimensional world.” Behavioral and Brain Sciences 36, no. …

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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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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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