机构:Univ Sheffield, Sheffield Ctr Robot, Sheffield S1 3JD, S Yorkshire, England
Gauci, Melvin
Chen, Jianing
论文数: 0引用数: 0
h-index: 0
机构:Univ Sheffield, Sheffield Ctr Robot, Sheffield S1 3JD, S Yorkshire, England
Chen, Jianing
Li, Wei
论文数: 0引用数: 0
h-index: 0
机构:Univ Sheffield, Sheffield Ctr Robot, Sheffield S1 3JD, S Yorkshire, England
Li, Wei
Dodd, Tony J.
论文数: 0引用数: 0
h-index: 0
机构:Univ Sheffield, Sheffield Ctr Robot, Sheffield S1 3JD, S Yorkshire, England
Dodd, Tony J.
Gross, Roderich
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sheffield, Sheffield Ctr Robot, Sheffield S1 3JD, S Yorkshire, England
Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, EnglandUniv Sheffield, Sheffield Ctr Robot, Sheffield S1 3JD, S Yorkshire, England
Gross, Roderich
[1
,2
]
机构:
[1] Univ Sheffield, Sheffield Ctr Robot, Sheffield S1 3JD, S Yorkshire, England
[2] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
来源:
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
|
2014年
/
33卷
/
08期
关键词:
Aggregation;
line-of-sight sensor;
minimal information processing;
mobile and distributed robotics;
swarm intelligence;
BEHAVIOR;
ROBOTS;
EMBODIMENT;
SWARMS;
AGENTS;
D O I:
10.1177/0278364914525244
中图分类号:
TP24 [机器人技术];
学科分类号:
080202 ;
1405 ;
摘要:
This paper presents a solution to the problem of self-organized aggregation of embodied robots that requires no arithmetic computation. The robots have no memory and are equipped with one binary sensor, which informs them whether or not there is another robot in their line of sight. It is proven that the sensor needs to have a sufficiently long range; otherwise aggregation cannot be guaranteed, irrespective of the controller used. The optimal controller is found by performing a grid search over the space of all possible controllers. With this controller, robots rotate on the spot when they perceive another robot, and move backwards along a circular trajectory otherwise. This controller is proven to always aggregate two simultaneously moving robots in finite time, an upper bound for which is provided. Simulations show that the controller also aggregates at least 1000 robots into a single cluster consistently. Moreover, in 30 experiments with 40 physical e-puck robots, 98.6% of the robots aggregated into one cluster. The results obtained have profound implications for the implementation of multi-robot systems at scales where conventional approaches to sensing and information processing are no longer applicable.