Category: AI Navigation

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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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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A Map in the Sky for Self-Flying Vehicles

A report titled ‘Flying Taxis Take Flight, Presage New Location Intelligence‘ by Frits van der Schaaf. 

Location intelligence has long been used to present real-time information on maps—for transportation companies’ tracking of shipments; utility companies’ monitoring the status

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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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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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Towards Neuromorphic SLAM and Navigation

The latest research Kreiser et al. 2018,  published IROS 2018,  investigated the use of ultra low-power, mixed signal analog/digital neuromorphic hardware for implementation of biologically inspired neuronal path integration and map formation for a mobile robot. 

For further info, please …

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