Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR.

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Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR.

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Meyer, Hanno Gerd / Klimeck, Daniel / Paskarbeit, Jan / Rückert, Ulrich / Egelhaaf, Martin / Porrmann, Mario / Schneider, Axel

Abstract

Meyer HG, Klimeck D, Paskarbeit J, et al. Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR. PloS one . 2020;15(4). ; Emulating the highly resource-efficient processing of visual motion information in the brain of flying insects, a bio-inspired controller for collision avoidance and navigation was implemented on a novel, integrated System-on-Chip-based hardware module. The hardware module is used to control visually-guided navigation behavior of the stick insect-like hexapod robot HECTOR. By leveraging highly parallelized bio-inspired algorithms to extract nearness information from visual motion in dynamically reconfigurable logic, HECTOR is able to navigate to predefined goal positions without colliding with obstacles. The system drastically outperforms CPU- and graphics card-based implementations in terms of speed and resource efficiency, making it suitable to be also placed on fast moving robots, such as flying drones.

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Document information

Title :

Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR.

Contributors:

Meyer, Hanno Gerd (author) / Klimeck, Daniel (author) / Paskarbeit, Jan (author) / Rückert, Ulrich (author) / Egelhaaf, Martin (author) / Porrmann, Mario (author) / Schneider, Axel (author)

Publication date :

2020-01-01

Type of media :

Article (Journal)

Type of material :

Electronic Resource

Language :

English

Keywords :

ddc:004

Classification :

DDC: