Mechanism Selection for Multi-Robot Task Allocation

Schneider, Eric ORCID: 0000-0002-2354-126X, Sklar, Elizabeth I and Parsons, Simon (2017) Mechanism Selection for Multi-Robot Task Allocation. .

Text mrteam_taros2017.pdf - Author Accepted Manuscript Download (742kB)

Abstract

The work presented here investigates how environmental features can be used to help select a task allocation mechanism from a portfolio in a multi-robot exploration scenario. In particular, we look at clusters of task locations and the positions of team members in relation to cluster centres. In a data-driven approach, we conduct experiments that use two different task allocation mechanisms on the same set of scenarios, providing comparative performance data. We then train a classifier on this data, giving us a method for choosing the best mechanism for a given scenario. We show that selecting a mechanism via this method, compared to using a single state-of-the-art mechanism only, can improve team performance in certain environments, according to our metrics.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Generic health relevance
Depositing User:	Symplectic Admin
Date Deposited:	26 Feb 2018 10:01
Last Modified:	16 Mar 2024 17:14
DOI:	10.1007/978-3-319-64107-2_33
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3018368