Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach

Automatica ◽  
2019 ◽  
Vol 100 ◽  
pp. 75-81 ◽  
Author(s):  
Long Jin ◽  
Shuai Li ◽  
Hung Manh La ◽  
Xin Zhang ◽  
Bin Hu
2006 ◽  
Author(s):  
Kristina Lerman ◽  
Chris Jones ◽  
Aram Galstyan ◽  
Maja J. Mataric

Author(s):  
Seenu N. ◽  
Kuppan Chetty R.M. ◽  
Ramya M.M. ◽  
Mukund Nilakantan Janardhanan

Purpose This paper aims to present a concise review on the variant state-of-the-art dynamic task allocation strategies. It presents a thorough discussion about the existing dynamic task allocation strategies mainly with respect to the problem application, constraints, objective functions and uncertainty handling methods. Design/methodology/approach This paper briefs the introduction of multi-robot dynamic task allocation problem and discloses the challenges that exist in real-world dynamic task allocation problems. Numerous task allocation strategies are discussed in this paper, and it establishes the characteristics features between them in a qualitative manner. This paper also exhibits the existing research gaps and conducive future research directions in dynamic task allocation for multiple mobile robot systems. Findings This paper concerns the objective functions, robustness, task allocation time, completion time, and task reallocation feature for performance analysis of different task allocation strategies. It prescribes suitable real-world applications for variant task allocation strategies and identifies the challenges to be resolved in multi-robot task allocation strategies. Originality/value This paper provides a comprehensive review of dynamic task allocation strategies and incites the salient research directions to the researchers in multi-robot dynamic task allocation problems. This paper aims to summarize the latest approaches in the application of exploration problems.


2021 ◽  
Vol 10 (2) ◽  
pp. 1-20
Author(s):  
Teggar Hamza ◽  
Senouci Mohamed ◽  
Debbat Fatima

Making the right decision is an essential requirement for the task allocation process in multi-robot systems functioning in dynamic environments. Robots are often forced to make these decisions individually without any communication between them. It may be due to reasons related to uncertainty in environments or related to tasks security, such as military applications. However, robot decisions must be precise in order to increase their efficiency to perform complex tasks. This paper presents a model in which a criterion of accuracy in tasks allocation process in an uncertain environment is defined. In order to increase this precision in such environments, the robots will formulate their observations in terms of the fuzzy linguistic variables. These variables are used by a fuzzy inference system to determine a utility value of a task that most effectively increases accuracy in task allocation. Simulation results on a complex task of goods transportation by mobile robots are presented to demonstrate the effectiveness of this model.


2019 ◽  
Vol 98 (2) ◽  
pp. 455-479 ◽  
Author(s):  
Wei Dai ◽  
Huimin Lu ◽  
Junhao Xiao ◽  
Zhiwen Zeng ◽  
Zhiqiang Zheng

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