Cooperative Pollution Source Localization and Cleanup with a Bio-inspired Swarm Robot Aggregation

by   Arash S. Amjadi, et al.

Using robots for exploration of extreme and hazardous environments has the potential to significantly improve human safety. For example, robotic solutions can be deployed to find the source of a chemical leakage and clean the contaminated area. This paper demonstrates a proof-of-concept bio-inspired exploration method using a swarm robotic system, which is based on a combination of two bio-inspired behaviours: aggregation, and pheromone tracking. The main idea of the work presented is to follow pheromone trails to find the source of a chemical leakage and then carry out a decontamination task by aggregating at the critical zone. Using experiments conducted by a simulated model of a Mona robot, we evaluate the effects of population size and robot speed on the ability of the swarm in a decontamination task. The results indicate the feasibility of deploying robotic swarms in an exploration and cleaning task in an extreme environment.



There are no comments yet.


page 7


Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks

The mine detection in an unexplored area is an optimization problem wher...

Swarm Robots Inspired by Friendship Formation Process

Swarm robotic systems are systems in which multiple robots having simple...

Exploration of Self-Propelling Droplets Using a Curiosity Driven Robotic Assistant

We describe a chemical robotic assistant equipped with a curiosity algor...

Robots that Sync and Swarm: A Proof of Concept in ROS 2

A unified mathematical model for synchronisation and swarming has been p...

On self-organised aggregation dynamics in swarms of robots with informed robots

In this paper, we use simulated swarms of robots to further explore the ...

Urban Swarms: A new approach for autonomous waste management

Modern cities are growing ecosystems that face new challenges due to the...

Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control

This paper explores the use of a novel form of Hierarchical Graph Neuron...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.