Paper Info
Title
Improving Energy Efficiency in Cooperative Foraging Swarm Robots Using Behavioral Model
Abstract
Multi-robot foraging systems can assist human beings to collect crops or minerals, efficiently. As being wider searching spaces, the robot control system demands scalability and reliability. For handling this limitation, in particular, swarm robotics has been considered due to its strengths such as self-organization, robustness and flexibility. However, it stipulates high initial, operating cost as employing the multi-robot foraging system. To address these drawbacks, this paper presents a novel distributed foraging mechanism. The aim is to adopt a new behavioral model regarding role division and search space division for improving energy efficiency. Simulation results demonstrate that the proposed approach outperforms an existing foraging robot system.
Year
DOI
Venue
2011
10.1109/BIC-TA.2011.69
BIC-TA
Keywords
Field
DocType
existing foraging robot system,cooperative foraging swarm,search space division,new behavioral model,improving energy efficiency,human being,behavioral model,multi-robot foraging system,robot control system demand,foraging mechanism,role division,energy efficiency,swarm intelligence,foraging behavior,behavior modeling,energy conservation,energy efficient,swarm robotics
Efficient energy use,Computer science,Behavioral modeling,Swarm intelligence,Robustness (computer science),Artificial intelligence,Operating cost,Foraging,Machine learning,Swarm robotics,Scalability
Conference
Citations 
PageRank 
References 
3
0.45
8
Authors
2
Name
Order
Citations
PageRank
Jong-Hyun Lee14410.32
Chang Wook Ahn275960.88