Multi-Robot Task Allocation (MRTA) has no formal framework which could provide solutions covering different domains within the MRTA taxonomy without changing the optimization scheme. This research aims to develop a novel framework using evolutionary computing. The study proposes a modular approach towards developing this framework in which individual problem types of the MRTA taxonomy are solved one at a time. The performance of the framework will be evaluated against the popular approaches suggested for each problem type
Multi-Robot Systems (MRS) are now becoming increasingly prevalent to many applications. Among the va...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...
Although many multi-robot task allocation (MRTA) architectures can be found in the literature, relat...
In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition due to variou...
The multi-robot task assignment problem is always a popular topic in the field of robotics, which is...
The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-extende...
Multiple solutions are often needed because of different kinds of uncertain failures in a plan execu...
Summary. We present a distributed mechanism for automatically allocating tasks to robots in a manner...
Multirobot systems (MRS) hold the promise of improved performance and increased fault tolerance for ...
Multi-robot task allocation (MRTA) problems have been studied extensively in the past decades. As a ...
Multiple solutions are often needed because of different kinds of uncertain failures in a plan exec...
Efficacy of the multi-robot systems depends on proper sequencing and optimal allocation of robots to...
This paper tackles the Multi-Robot Task Allocation problem. It consists of two distinct sets: a set ...
This paper tackles the Multi-Robot Task Allocation problem. It consists of two distinct sets: a set ...
Multi-Robot Systems (MRS) are now becoming increasingly prevalent to many applications. Among the va...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...
Although many multi-robot task allocation (MRTA) architectures can be found in the literature, relat...
In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition due to variou...
The multi-robot task assignment problem is always a popular topic in the field of robotics, which is...
The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-extende...
Multiple solutions are often needed because of different kinds of uncertain failures in a plan execu...
Summary. We present a distributed mechanism for automatically allocating tasks to robots in a manner...
Multirobot systems (MRS) hold the promise of improved performance and increased fault tolerance for ...
Multi-robot task allocation (MRTA) problems have been studied extensively in the past decades. As a ...
Multiple solutions are often needed because of different kinds of uncertain failures in a plan exec...
Efficacy of the multi-robot systems depends on proper sequencing and optimal allocation of robots to...
This paper tackles the Multi-Robot Task Allocation problem. It consists of two distinct sets: a set ...
This paper tackles the Multi-Robot Task Allocation problem. It consists of two distinct sets: a set ...
Multi-Robot Systems (MRS) are now becoming increasingly prevalent to many applications. Among the va...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...
In this work we address the Multi-Robot Task Allocation Problem (MRTA). We assume that the decision ...