Investigation of Warrior Robots Behavior by Using Evolutionary Algorithms
Shahriar Sharifi Borojerdi, Mehdi Karimi, Ehsan Amiri

TL;DR
This paper reviews how evolutionary algorithms can be used to simulate and analyze the collective behavior of warrior robots, inspired by nature and social insects, through simple simulations.
Contribution
It introduces a method to model warrior robot behavior using evolutionary algorithms, demonstrating the potential for simple simulations to reflect complex collective actions.
Findings
Evolutionary algorithms can effectively simulate warrior robot behaviors.
Collective behavior in robots can be achieved without inherent intelligence.
Simulations show promising results for robot cooperation and organization.
Abstract
In this study, we review robots behavior especially warrior robots by using evolutionary algorithms. This kind of algorithms is inspired by nature that causes robots behaviors get resemble to collective behavior. Collective behavior of creatures such as bees was shown that do some functions which depended on interaction and cooperation would need to a well-organized system so that all creatures within it carry out their duty, very well. For robots which do not have any intelligence, we can define an algorithm and show the results by a simple simulation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModular Robots and Swarm Intelligence · Robotic Path Planning Algorithms · Evolutionary Algorithms and Applications
