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 …
regional farmland operation, multiple agricultural machines often need to complete multiple …
Distributed multi-agent scheduling and control system for robotic flexible assembly cells
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 …
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 …
efforts of multiple agricultural machines with distinct functionalities. However, the failure of a …
Underwater robot task planning using multi-objective meta-heuristics
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 …
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
In operations of multi-agent teams ranging from homogeneous robot swarms to
heterogeneous human-autonomy teams, unexpected events might occur. While efficiency of …
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 …
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
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 …
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
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 …
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 …
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
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 …
production systems. It is related to tasks (products) scheduling, which requires the allocation …