Autonomous Visual Navigation A Biologically Inspired Approach
Sotirios Athanasoulias, Andy Philippides
TL;DR
This paper presents a biologically inspired approach to autonomous visual navigation, simulating animal navigation behaviors, particularly those of ants, using biomimetic algorithms in artificial environments.
Contribution
It introduces a novel biomimetic algorithm framework for autonomous visual navigation inspired by animal and ant navigation behaviors.
Findings
Successful simulation of ant-like navigation behaviors
Demonstrated effectiveness of biomimetic algorithms in artificial environments
Potential applications in robotics and autonomous systems
Abstract
Inspired by the navigational behavior observed in the animal kingdom and especially the navigational behavior of the ants, we attempt to simulate it in an artificial environment by implementing different kinds of biomimetic algorithms.
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Taxonomy
TopicsRobotic Path Planning Algorithms