Category: Bio-Inspired Robotics

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

Be the First to comment. Read More

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

Be the First to comment. Read More

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 …

Be the First to comment. Read More

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 …

Be the First to comment. Read More

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) …

Be the First to comment. Read More

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 …

Be the First to comment. Read More

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 …

Be the First to comment. Read More