Paper Info
Title
Target Tracking and Surrounding with Swarm Robots
Abstract
Nowadays the capabilities of autonomous robots have increased rapidly. However there are situations where one robot is not sufficient. In this paper we will introduce a completely distributed algorithm for tracing and surrounding moving objects or targets using homogenous, medium scaled swarm robots based on local sensing. Our new approach is based on the already known concept of basis behaviors as ubiquitous general building blocks for synthesizing artificial group behavior. Our goal was to generate an algorithm based on simple rules in order to protect a territory from a human intruder. In contrast with the common solution which is employing potential fields, we tried to keep our method as simple as possible by utilizing rule-based control mechanism. We will also present our virtual simulation environment and experimental results.
Year
DOI
Venue
2012
10.1109/ECBS.2012.41
ECBS
Keywords
Field
DocType
target tracking,rule-based control mechanism,basis behavior,autonomous robot,swarm robots,common solution,potential field,human intruder,artificial group behavior,simple rule,new approach,group behavior,rule based,tracking,trajectory,swarm,robotics,swarm robotics,algorithm design and analysis,robot kinematics,distributed algorithm
Algorithm design,Swarm behaviour,Computer science,Robot kinematics,Real-time computing,Distributed algorithm,Artificial intelligence,Robot,Tracing,Robotics,Swarm robotics
Conference
Citations 
PageRank 
References 
5
0.57
5
Authors
4
Name
Order
Citations
PageRank
Lászlo Blázovics171.44
Kristof Csorba292.53
Bertalan Forstner3187.65
Hassan Charaf421131.15