Task assignment of multiple agricultural machinery cooperation based on improved ant colony algorithm

R Cao, S Li, Y Ji, Z Zhang, H Xu, M Zhang, M Li… - … and Electronics in …, 2021 - Elsevier
Task assignment is a key problem in multi-machine cooperative navigation. In the context of
regional farmland operation, multiple agricultural machines often need to complete multiple …

Distributed multi-agent scheduling and control system for robotic flexible assembly cells

A Maoudj, B Bouzouia, A Hentout, A Kouider… - Journal of intelligent …, 2019 - Springer
This paper deals with the development of a distributed multi-agent system (DMAS) for
scheduling and controlling Robotic Flexible Assembly Cells (RFAC). In the proposed …

Dynamic job allocation method of multiple agricultural machinery cooperation based on improved ant colony algorithm

C Zhang, L Jia, S Liu, G Dou, Y Liu, B Kong - Scientific Reports, 2024 - nature.com
Contemporary large-scale and systematic agricultural operations demand the collaborative
efforts of multiple agricultural machines with distinct functionalities. However, the failure of a …

Underwater robot task planning using multi-objective meta-heuristics

I Landa-Torres, D Manjarres, S Bilbao, J Del Ser - Sensors, 2017 - mdpi.com
Robotics deployed in the underwater medium are subject to stringent operational conditions
that impose a high degree of criticality on the allocation of resources and the schedule of …

Task allocation with load management in multi-agent teams

H Wu, A Ghadami, AE Bayrak… - … on Robotics and …, 2022 - ieeexplore.ieee.org
In operations of multi-agent teams ranging from homogeneous robot swarms to
heterogeneous human-autonomy teams, unexpected events might occur. While efficiency of …

Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks

S Paul, S Chowdhury - Journal of Computing and …, 2024 - asmedigitalcollection.asme.org
In various applications of multi-robotics in disaster response, warehouse management, and
manufacturing, tasks that are known a priori and tasks added during run time need to be …

A genetic algorithm approach to multi-agent mission planning problems

B Miloradović, B Cürüklü, M Ekström… - … on Operations Research …, 2019 - Springer
Abstract Multi-Agent Systems (MASs) have received great attention from scholars and
engineers in different domains, including computer science and robotics. MASs try to solve …

Multi-sensor task allocation framework for supply networks security using task administration protocols

I Tkach, Y Edan, SY Nof - International Journal of Production …, 2017 - Taylor & Francis
This research proposes a multi-sensor task allocation framework for security of supply
networks aimed to maximise the number of correctly detected and reported security events …

Hybrid task allocation of an AGV system for task groups of an assembly line

Y Hu, X Wu, J Zhai, P Lou, X Qian, H Xiao - Applied Sciences, 2022 - mdpi.com
Featured Application The proposed method in this paper has the potential to solve the task-
AGV allocation problem in a complex assembly environment where both multiple-AGV …

Distributed multi-agent approach based on priority rules and genetic algorithm for tasks scheduling in multi-robot cells

A Maoudj, B Bouzouia, A Hentout… - IECON 2016-42nd …, 2016 - ieeexplore.ieee.org
This paper deals with one of the most challenging decisional problems in multi-robot based
production systems. It is related to tasks (products) scheduling, which requires the allocation …