Category: Cognitive Navigation

Whether and how vectorial operations are implemented in the wider neural representation of space?

In environments that contain discrete objects, animals are known to store information about distance and direction to those objects and to use this vector information to guide navigation. Theoretical studies have proposed that such vector operations are supported by …

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Insect-Inspired Robots Don’t Need GPS For Orientation

The ‘Brains on Board’ project is a collaboration between several British universities in partnership with the Human Brain Project and seeks to ‘translate’ the brains of ants and bees into algorithms that a machine will understand. Its aim is …

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Insect Navigation: From Ants to Robots and Back Again

The latest RIN Navigation News focus on  Insect Navigation: From Ants to Robots and Back Again.

For further info, please visit the RIN website. …

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A gravity-based three-dimensional compass in the mouse brain

Head direction cells in the mammalian limbic system are thought to function as an allocentric neuronal compass. Although traditional views hold that the compass of ground-dwelling species is planar, Angelaki et al. 2019 show that head-direction cells in the rodent

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MetaFly: flying robotic insect

 

For further info, please visit the site https://www.kickstarter.com/projects/274008848/metafly-a-new-flying-experience/description

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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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Bio-inspired wind sensation for advanced autonomous drones/UAV navigation

Reliability and accuracy of navigation in flying drones are one of the key challenges that must be solved in autonomous applications. Accurate knowledge of position, attitude, and velocity is a critical input for drones operating in cluttered and challenging environments

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How the brain represent 3D head direction in 3D space?

The note is an excerpt from the Shinder et al. 2019. We just describe some key conception and results in this study as a significant note. Please read the original paper if you are interested in the study on https://www.physiology.org/doi/full/10.1152/jn.00880.2017

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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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The flying cars are coming soon, how to overcome the challenge of autonomous flying vehicle navigation?

A report titled ‘Elevating the future of mobility: Passenger drones and flying cars‘ by Robin Lineberger, Aijaz Hussain, Siddhant Mehra, Derek M. Pankratz has published on the deloitte.com at January 18, 2018. 

 

 

How to overcome the

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How the brain’s spatial systems organize their representation of 3D space?

The brain’s spatial map is supported by place cells, encoding current location, and grid cells, which report horizontal distance traveled by producing evenly sized and spaced foci of activity (firing fields) that tile the environment surface. Casalia et al. 2019 …

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AntBot: desert ants inspired autonomous navigation in outdoor environments

J. Dupeyroux et al. 2019 presents a navigation system inspired by desert ants’ navigation behavior, which requires precise and robust sensory modalities.

They tested several ant-inspired solutions to outdoor homing navigation problems on a legged robot using two optical sensors …

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Whether hippocampal cells can represent a spatial abstraction?

Concept cells in the human hippocampus encode the meaning conveyed by stimuli over their perceptual aspects. Baraduc et al. 2019 investigate whether analogous cells in the macaque can form conceptual schemas of spatial environments.

Each day, monkeys were presented …

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How a simple robotics model of mammal navigation is useful to interpret neurobiological recordings

Place recognition is a complex process involving idiothetic and allothetic information. In mammals, evidence suggests that visual information stemming from the temporal and parietal cortical areas (‘what’ and ‘where’ information) is merged at the level of the entorhinal cortex (EC) …

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DeepMind GridCells Code

The DeepMind opens the code of grid cells (Banino et al 2018) via GitHub(https://github.com/deepmind/grid-cells) in Jan. 2019. This package provides an implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published …

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