Category: Learning to Navigate

When and why grid cells appear or not in trained path integrators?

Ben Sorscher, Gabriel C Mel, Aran Nayebi, Lisa Giocomo, Daniel Yamins, Surya Ganguli. When and why grid cells appear or not in trained path integrators. bioRxiv 2022.11.14.516537; doi: https://doi.org/10.1101/2022.11.14.516537

Abstract
“Recent work has claimed that the emergence of grid …

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Learning from animals: How to Navigate Complex Terrains?

Zhu H, Liu H, Ataei A, Munk Y, Daniel T, Paschalidis IC (2020) Learning from animals: How to Navigate Complex Terrains. PLoS Comput Biol 16(1): e1007452. https://doi.org/10.1371/journal.pcbi.1007452

Abstract
“We develop a method to learn a bio-inspired motion control …

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How the grid cells perform path integral, path planning and error correction?

Gao, Ruiqi & Xie, Jianwen & Zhu, Song & Wu, Yingnian.  Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. ICLR 2019

Abstract

“This paper proposes a representational model for grid cells. In …

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Learning to navigate – how desert ants calibrate their compass systems?

Robin Grob, Pauline N. Fleischmann and Wolfgang Rössler*. Learning to navigate – how desert ants calibrate their compass systems. Neuroforum 2019. https://doi.org/10.1515/nf-2018-0011 

Navigating through the environment is a challenging task that animals cope with on a daily basis. Many …

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Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots

MURI Project Title: “Neuro-Autonomy: Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots”

Project Website: http://sites.bu.edu/neuroautonomy/

https://electrical.eng.unimelb.edu.au/control-signal-processing/neuro-autonomy 

 

The following content is extracted from the http://www.bu.edu. 

A Boston University-led research team was selected to receive a $7.5 million Multidisciplinary …

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NeuroSLAM : Neural Simultaneous Localization and Mapping Workshop 13-14 Mar 2019 Paris (France)

NeuroSLAM: Neural Simultaneous Localization and Mapping Workshop

 

Simultaneous Localization and Mapping (or SLAM) refers to the problem of constructing a map of an unknown environment as it is actively being explored. SLAM has been treated extensively in mobile robotics, providing …

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Robots are learning how to walk like we do

Robots have walked on legs for decades. Today’s most advanced humanoid robots can tramp along flat and inclined surfaces, climb up and down stairs, and slog through rough terrain. Some can even jump.

A report about legged robots on the …

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CogNav Blog

New discovery worth spreading on cognitive navigation in neurorobotics and neuroscience

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