Competency adjustment and workload balancing framework in multirobot task allocation

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 122
  • Download : 6
This article proposes a framework for competency adjustment and workload balancing in multirobot task allocation. Competency represents the ability of a robot to execute a task in terms of quality and cost, and workload balancing denotes distribution of workload among robots. This framework considers the quality and cost of a robot for a task and adjusts them in accordance with environmental changes. For workload balancing, the framework utilizes the concept of subsidy to encourage participation from the less active members of the robot team. The proposed framework is implemented in a simulated cleaning mission. Simulation results demonstrate that this framework can adjust the competency in accordance with environmental changes and distribute workload among robots in a balanced manner.
Publisher
SAGE PUBLICATIONS INC
Issue Date
2018-11
Language
English
Article Type
Article
Citation

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, v.15, no.6

ISSN
1729-8814
DOI
10.1177/1729881418812960
URI
http://hdl.handle.net/10203/248273
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0