Results 11 to 20 of about 134,924 (303)
Multiagent Task Coordination as Task Allocation Plus Task Responsibility [PDF]
, 2020 In this work, we present a dynamic Task Coordination framework () for multiagent systems. Here task coordination refers to a twofold problem where an exogenously imposed state of affairs should be satisfied by a multiagent system. To address this problem the involved agents or agent groups need to be assigned tasks to fulfill (task allocation) and the ...
Vahid Yazdanpanah +5 more
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Dynamic Task Allocation in Cooperative Robot Teams
International Journal of Advanced Robotic Systems, 2009 In this paper a dynamic task allocation and controller design methodology for cooperative robot teams is presented. Fuzzy logic based utility functions are derived to quantify each robot's ability to perform a task.
Athanasios Tsalatsanis +2 more
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Task Allocation in Ant Colonies [PDF]
, 2014 In this paper we propose a mathematical model for studying the phenomenon of division of labor in ant colonies. Inside this model we investigate how simple task allocation mechanisms can be used to achieve an optimal division of labor.
Alejandro Cornejo +3 more
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Task Allocation for Affective Robots Based on Willingness
IEEE Access, 2021 Affection is regarded as a new solution to coordinate task allocation problems in the multi-robot system. In this paper, we proposed an interpretable and computational affection model based on willingness and a new personality model named CASE to measure
Qiubo Zhong +3 more
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The methods of task pre‐allocation and reallocation for multi‐UAV cooperative reconnaissance mission
IET Collaborative Intelligent Manufacturing, 2023 Nowadays, multi unmanned aerial vehicle (multi‐UAV) systems have been widely used in battlefield. The rationality of mission plan can directly affect the effectiveness of multi‐UAV system. The existing multi‐UAV task allocation model lack a comprehensive
Gang Wang +3 more
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Allocating tasks in extreme teams [PDF]
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, 2005 Extreme teams, large-scale agent teams operating in dynamic environments, are on the horizon. Such environments are problematic for current task allocation algorithms due to the lack of locality in agent interactions. We propose a novel distributed task allocation algorithm for extreme teams, called LA-DCOP, that incorporates three key ideas. First, LA-
P. Scerri +3 more
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Research on Fuzzy Decision-Making Method of Task Allocation for Ship Multiagent Collaborative Design
Advances in Mathematical Physics, 2022 Since task allocation is one of the core tasks of ship design, the choice of its allocation strategy is a key factor that affects whether the task and the design agent can be beneficially matched. Different from the traditional one-way assignment mode of
Jinghua Li +4 more
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Imitation learning for task allocation [PDF]
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010 At the heart of multi-robot task allocation lies the ability to compare multiple options in order to select the best. In some domains this utility evaluation is not straightforward, for example due to complex and unmodeled underlying dynamics or an adversary in the environment. Explicitly modeling these extrinsic influences well enough so that they can
Felix Duvallet, Anthony Stentz
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Fair Task Allocation When Cost of Task Is Multidimensional
Applied Sciences, 2020 We consider the problem of fairly allocating indivisible tasks, focusing on a recently introduced notion of fairness called Minmax share guarantee. Minmax share (MMS) is a term of fairness guarantees that is defined to be the minimum cost that an agent ...
Fengjie Sun, Xianchang Wang, Rui Zhang
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Towards Efficient and Privacy-Preserving Versatile Task Allocation for Internet of Vehicles
IEEE Open Journal of the Computer Society, 2022 Nowadays, task allocation has attracted increasing attention in the Internet of Vehicles. To efficiently allocate tasks to suitable workers, users usually need to publish their task interests to the service provider, which brings a serious threat to ...
Zihan Li +5 more
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