Journal
INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS
Volume 3, Issue 4, Pages 392-406Publisher
SPRINGER
DOI: 10.1007/s41315-019-00111-5
Keywords
Urban search and rescue; Multi-robot coordination; Task allocation; Distributed algorithm
Categories
Funding
Ask authors/readers for more resources
In urban search and rescue domains, robots explore the affected terrain to search and assist disaster victims. RoboCup Rescue simulation provides a platform for disaster management where heterogeneous field agents (fire-brigade agent, ambulance agent, and police force agent) collaborate to manage a mimicked calamity situation. The role of police force agents is crucial, as they clear the blocked roads to allow other agents to perform their tasks. In this paper we suggest a distributed multi-robot coordination approach for clearing a road blocked with heavy obstacles. The proposed framework is implemented and simulated in ARGoS, a multi-robot simulator. The experimental results show the validity and satisfactory performance of the proposed approach.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available