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A Review of Task Allocation Methods for UAVs
Unmanned aerial vehicles, can offer solutions to a lot of problems, making it crucial to research more and improve the task allocation methods used. In this survey, the main approaches used for task allocation in applications involving UAVs are presented
Hyo-Sang Shin, Antonios Tsourdos
exaly +6 more sources
A Dynamic Task Allocation Algorithm for Heterogeneous UUV Swarms. [PDF]
Aiming at the task allocation problem of heterogeneous unmanned underwater vehicle (UUV) swarms, this paper proposes a dynamic extended consensus-based bundle algorithm (DECBBA) based on consistency algorithm.
Wu X, Gao Z, Yuan S, Hu Q, Dang Z.
europepmc +3 more sources
A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. [PDF]
In real-world applications, multiple robots need to be dynamically deployed to their appropriate locations as teams while the distance cost between robots and goals is minimized, which is known to be an NP-hard problem.
Lei T, Chintam P, Luo C, Liu L, Jan GE.
europepmc +2 more sources
Task allocation in edge computing refers to the process of distributing tasks among the various nodes in an edge computing network. The main challenges in task allocation include determining the optimal location for each task based on the requirements ...
Vasilios Patsias +5 more
doaj +2 more sources
Multi-agent task allocation for harvest management. [PDF]
Multi-agent task allocation methods seek to distribute a set of tasks fairly amongst a set of agents. In real-world settings, such as soft fruit farms, human labourers undertake harvesting tasks.
Harman H, Sklar EI.
europepmc +2 more sources
Review of Dynamic Task Allocation Methods for UAV Swarms Oriented to Ground Targets
Dynamic task allocation of unmanned aerial vehicle swarms for ground targets is an important part of unmanned aerial vehicle (UAV) swarms task planning and the key technology to improve autonomy.
Husheng Wu, Qiang Peng
exaly +3 more sources
Multi-Task Allocation Under Time Constraints in Mobile Crowdsensing
Mobile crowdsensing (MCS) is a popular paradigm to collect sensed data for numerous sensing applications. With the increment of tasks and workers in MCS, it has become indispensable to design efficient task allocation schemes to achieve high performance ...
Xinglin Zhang
exaly +2 more sources
Task Allocation Using a Team of Robots [PDF]
Task allocation using a team or coalition of robots is one of the most important problems in robotics, computer science, operational research, and artificial intelligence.
H. Aziz +4 more
semanticscholar +3 more sources
Implementation and Evaluation of Dynamic Task Allocation for Human–Robot Collaboration in Assembly
Human–robot collaboration is becoming increasingly important in industrial assembly. In view of high cost pressure, resulting productivity requirements, and the trend towards human-centered automation in the context of Industry 5.0, a reasonable ...
Christoph Petzoldt +5 more
doaj +2 more sources
Heterogeneous human-robot task allocation based on artificial trust. [PDF]
Effective human–robot collaboration requires the appropriate allocation of indivisible tasks between humans and robots. A task allocation method that appropriately makes use of the unique capabilities of each agent (either a human or a robot) can improve
Ali A +3 more
europepmc +2 more sources

