Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Learning and Measuring Specialization in Collaborative Swarm Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Cooperative multi-robot localization under communication constraints
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Strategies for energy optimisation in a swarm of foraging robots
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
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We can efficiently collect crops or minerals by operating multi-robot foraging systems. As foraging spaces become wider, control algorithms require scalability and reliability. Swarm robotics is a state-of-the-art algorithm on wide foraging spaces due to its advantages, such as self-organization, robustness, and flexibility. However, high initial and operating cost are the main barriers in operating multi-robot foraging systems. In this paper, we propose a novel method to improve the energy efficiency of the system to reduce operating costs. The idea is to employ the behavior model of honey bee swarm inspired by a honey bee colony in nature.