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Toward target search approach of swarm robotics in limited communication environment based on robot chains with elimination mechanism
- Source :
- International Journal of Advanced Robotic Systems, Vol 17 (2020)
- Publication Year :
- 2020
- Publisher :
- SAGE Publications, 2020.
-
Abstract
- Swarm robotics refers to artificial swarm systems composed of a large number of autonomous mobile robots with relatively simple structures and functions. One of the basic problems of swarm robotics involves the target search process, which entails a cooperative search using limited perception and local interaction of robots under a self-organizing mechanism. When communication is limited, the connectivity of swarm robotics may decrease, leading to the failure of the target search task. This article describes a new target search method based on the robot chain model and the elimination mechanism. The proposed method allows the target search task to be completed efficiently and reliably while maintaining the connectivity of the robots. Experimental results show that the proposed algorithm offers better performance than conventional techniques in terms of search speed and success rate, and provides an effective method for solving the target search problem using swarm robotics in limited-communication environments.
- Subjects :
- 0209 industrial biotechnology
Computer science
business.industry
lcsh:Electronics
Swarm robotics
lcsh:TK7800-8360
Swarm behaviour
Mobile robot
02 engineering and technology
lcsh:QA75.5-76.95
Computer Science Applications
Computer Science::Robotics
020901 industrial engineering & automation
Artificial Intelligence
Simple (abstract algebra)
0202 electrical engineering, electronic engineering, information engineering
Robot
020201 artificial intelligence & image processing
lcsh:Electronic computers. Computer science
Artificial intelligence
business
Software
Subjects
Details
- ISSN :
- 17298814
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- International Journal of Advanced Robotic Systems
- Accession number :
- edsair.doi.dedup.....fe4a9cc1751c285984dc9da2ecc4bbf8