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task-allocation-auctions's Introduction

Task Allocation using Auctions

Dynamic decentralized task allocation algorithms for multi-agent systems using a greedy auction algorithm.

Official GitHub repository: https://github.com/MartinBraquet/task-allocation-auctions.

Master's research at The University of Texas at Austin in the research group of Efstathios Bakolas.

The paper resulting from these simulations has been published at the Modeling, Estimation and Control Conference (MECC 2021).

To cite this work:

Braquet, M. and Bakolas E., "Greedy Decentralized Auction-based Task Allocation for Multi-Agent Systems", Modeling, Estimation and Control Conference (MECC), 2021.

  • For the dynamic task allocation, run OptimalControl_DTA.m.
  • For the sensitivity analysis of the parameters, run optimalControlParametersAnalysis.m.

To run the code in Matlab online: https://drive.matlab.com/sharing/f36a058f-99a4-4e38-a08e-0af800bd4ce8.

2D map of the dynamic task allocation (10 agents and 10 tasks) with associated reward, cost and utility

With communication limitation:

Alt Text

Without communication limitation:

Alt Text

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