Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 88 for “"Task allocation"”.
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Self-regulated Multi-robot Task Allocation
… group of autonomous robots in dynamic multi-tasking environments, a suitable multi-robot task-allocation (MRTA) solution is required. This must be scalable to variable number of robots and tasks. Recent studies show that biology-inspired self-organized approaches can effectively handle …
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Decentralized task allocation for dynamic environments
… design process for creating greedy decentralized task allocation algorithms and outlines the main decisions that progressed the algorithm through three different forms. The first form was called the Sequential Greedy Algorithm (SGA). This algorithm, although fast, relied on a large number of …
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Task allocation in the Internet of Things
… processing, node capability to perform a given task) are often limited. This is the case, for example, of battery powered nodes, which have limited energy amounts. ii) sensors may provide information that is not unique but can be generated by set of different objects which for example are …
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Task allocation policies for State Dependent queues
… which increases when the human is working on a task and decreases otherwise. Formal methods for task management in state-dependent dynamical queues are gathering increasing attention to improve the efficiency of such systems. The focus of this research is hence to design maximally stabilizing …
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Decentralized task allocation in communication contested environments
This thesis explores the topic of decentralized task allocation. Specific emphasis is placed on how and when decentralized task allocation should be applied as a decision making tool for autonomous multi-agent missions. Even though the focus is on the decentralized aspect of task allocation, care …
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Searching For Flexible Solutions To Task Allocation Problems
… Tools which automatically perform the mapping of tasks and messages onto a hardware platform are called task allocation tools. The primary requirement of a task allocation tool for hard real-time systems is to find a mapping and schedule such that all tasks and messages respond before their …
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Task allocation and migration on a star-network
… thesis presents an approach of allocating the tasks to a multiprocessor system called the star network. Generally, an incoming task requires only a part of the star network, and not the whole network, for its execution. So, we need a task allocation strategy which can identify the free …
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Multi-agent coordination for dynamic decentralised task allocation
Coordination of multiple agents for dynamic task allocation is an important and challenging problem, which involves deciding how to assign a set of agents to a set of tasks, both of which may change over time (i.e., it is a dynamic environment). Moreover, it is often necessary for heterogeneous …
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TOPOLOGY-GUIDED MARKET-BASED MULTI-ROBOT TASK ALLOCATION
Multi-robot task allocation has long been a fundamental challenge in large-scale autonomous systems due to the need for coordination, scalability, and robustness in complex environments. Traditional optimization-based or learning-based ap- proaches often struggle to maintain efficiency as task …
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Data-driven task allocation for multi-robot deliveries
In this thesis, we present a distributed task allocation system for a team of robots serving queues of tasks in an environment. We consider how historical information about such a system's performance could be used to improve future allocations. Our model is representative of a multi-robot mail …
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Decentralized task allocation for dynamic, time-sensitive tasks
… and objectives. In the case of dynamic task allocation, a team of agents are presented with a new, unknown task that must be allocated with their original allocations. This is exacerbated further in decentralized settings where agents are limited to utilizing local information during the …
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Decentralized control for UAV path planning and task allocation
… able to autonomously perform path planning and task allocation. During missions, the UAVs must be able to avoid threats and no-fly zones while still reaching their target optimally in time.;A path planning and task allocation approach was first developed that treats the problem as a …
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Task allocation for efficient performance of a decentralized organization
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.
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Tournament based task allocation in a parallel MIS algorithm
… the use of a tournament data structure for task allocation and dependency tracking in a parallel Maximal Independent Set (MIS) algorithm as a way to reduce contention in counter updates and improve runtime. The tournament data structure adds a noticeable overhead to the algorithm that causes …
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Human-automation task allocation in lunar landing: simulation and experiments
Task allocation, or how tasks are assigned to the human operator(s) versus to automation, is an important aspect of designing a complex vehicle or system for use in human space exploration. The performance implications of alternative task allocations between human and automation can be simulated, …
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Learning communication policies for decentralized task allocation under communication constraints
… policy for agents performing decentralized task allocation using consensus based bundle algorithm (CBBA) by accounting for these communication issues. In our approach, agents learn to use features, such as local communication graph density and value of their own messages, to both censor and …
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Learning Heterogeneous Resource-Constrained Task Allocation Using Concurrent Multi-Task Bandits
Task allocation is a critical aspect of multi-robot coordination, enabling the completion of complex tasks that would be intractable for individual robots. However, existing approaches to task allocation often assume that task requirements or reward functions are known and explicitly specified by …
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Self-Organizing Mechanisms for Task Allocation in a Knowledge-Based Economy
… of specific and idiosyncratic skills, the task of dividing the job and assigning it to the most appropriate individuals becomes arduous, a “supervisory problem” (Hogdson, 1999) emerges and traditional hierarchical control may result increasingly ineffective. Not only specificity of know how …
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Fog Computing for Heterogeneous Multi-Robot Systems With Adaptive Task Allocation
… solutions support different load balancing or task allocation algorithms. In particular, we establish that we can enhance the performance of distributed system by decreasing overall system latency by using already established multi-criteria decision-making algorithms like TOPSIS and TODIM with …
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