A Distributed Approach to the Multi-Robot Task Allocation Problem Using the Consensus-Based Bundle Algorithm and Ant Colony System
We propose a distributed approach to solve the multi-robot task allocation problem. This problem consists of two distinct sets: robots and tasks. The objective is to assign tasks to robots while optimizing a given criterion. This problem is known to be NP-hard even with small numbers of robots and t...
Main Authors: | Farouq Zitouni, Saad Harous, Ramdane Maamri |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8981979/ |
Similar Items
-
Cooperative Task Allocation for Multi-Robot Systems Based on Multi-Objective Ant Colony System
by: Shengli Wang, et al.
Published: (2022-01-01) -
Multi-Robot Task Scheduling with Ant Colony Optimization in Antarctic Environments
by: Seokyoung Kim, et al.
Published: (2023-01-01) -
Multi-Robot Task Scheduling for Consensus-Based Fault-Resilient Intelligent Behavior in Smart Factories
by: Vivian Cremer Kalempa, et al.
Published: (2023-03-01) -
A Spatial Queuing-Based Algorithm for Multi-Robot Task Allocation
by: William Lenagh, et al.
Published: (2015-08-01) -
Consensus-Based Decentralized Auctions for Robust Task Allocation
by: Choi, Han-Lim, et al.
Published: (2010)