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 …
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 …
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 …
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 …
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 …
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) …
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 …
About
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- What’s the mechanisms and function of grid cells in cognition?
- How the hippocampus represents different spaces?
- How to build a bio-inspired hardware implementation of an analog spike-based hippocampus memory model?
- How does the brain select what to remember during sleep?
- How hippocampal activity encodes numerous memories of specific events in life?
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- Laboratory of Nachum Ulanovsky
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