Year: 2017
Type: conference-paper
Abstract: Animals navigate complex and variable environments, but often use only limited sensory information. Here we present a simulated robot system using a C. elegans inspired sensory model and navigation strategy and demonstrate its ability to successfully identify specific, discretely located cues. We show a range of conditions under which this approach has performance benefits over other search strategies.
Authors: John Lones, AG Cohn, Netta Cohen
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: WHole Animal Modelling (WHAM): Toward the integrated understanding of sensory motor control in C. elegans, G3473010114, Balancing the impact of City Infrastructure Engineering on Natural systems using Robots, ASSESSING THE UNDERWORLD - AN INTEGRATED PERFORMANCE MODEL OF CITY INFRASTRUCTURES, G8080708470
OpenAlex ID: W2779012945