Swarm Crawler Robots Using Lévy Flight for Targets Exploration in Large Environments

Author:

Katada YoshiakiORCID,Hasegawa Sho,Yamashita Kaito,Okazaki Naoki,Ohkura Kazuhiro

Abstract

This study tackles the task of swarm robotics, where robots explore the environment to detect targets. When a robot detects a target, the robot must be connected with a base station via intermediate relay robots for wireless communication. Our previous results confirmed that Lévy flight outperformed the usual random walk for exploration strategy in an indoor environment. This paper investigated the search performance of swarm crawler robots with Lévy flight on target detection problems in large environments through a series of real robots’ experiments. The results suggest that the swarm crawler robots with Lévy flight succeeded in the target’s discovery in the indoor environment with a 100% success rate, and were able to find several targets in a given time in the outdoor environment. Thus, we confirmed that target exploration in a large environment would be possible by crawler robots with Lévy flight and significant variances in the detection rate among the positions to detect the outdoor environment’s target.

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural Chaotic Dynamics for Adaptive Exploration Control of an Autonomous Flying Robot;Lecture Notes in Computer Science;2024-09-07

2. Lévy Flight and the Interpersonal Distance of a Pedestrian in a Crowd;Applied Sciences;2024-08-27

3. A Random Walk-Based Stochastic Distributed Exploration Algorithm for Low-Cost Swarm Robots;2024 IEEE/SICE International Symposium on System Integration (SII);2024-01-08

4. A Survey on Swarm Robotics for Area Coverage Problem;Algorithms;2023-12-20

5. Aggregation Through Adaptive Random Walks in a Minimalist Robot Swarm;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

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