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Published in 2020 at "Autonomous Robots"
DOI: 10.1007/s10514-020-09912-1
Abstract: We study the dynamic task assignment problem in which multiple dispersed vehicles are employed to visit a set of targets. Some targets’ locations are initially known and the others are dynamically randomly generated during a…
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Keywords:
time triggered;
dynamic task;
time;
target locations ... See more keywords
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Published in 2021 at "Cluster Computing"
DOI: 10.1007/s10586-020-03175-2
Abstract: Cloud platforms usually offer several types of Virtual Machines (VMs) with different guarantees in terms of availability and volatility, provisioning the same resource through multiple pricing models. For instance, in the Amazon EC2 cloud, the…
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Keywords:
multiple hibernations;
dynamic task;
task scheduler;
scheduler tolerant ... See more keywords
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Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.03.004
Abstract: This paper proposes a novel distributed multi-agent dynamic task allocation method based on the potential game. Consider that the workload of each task may vary in a dynamic environment, and the communication range of each…
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Keywords:
agent;
task;
dynamic task;
potential game ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3546946
Abstract: In recent years, the increasing number of mouseholes in grassland areas has accelerated desertification, leading to a decline in grassland productivity and severely impacting the economic benefits of herders. Therefore, accurately and efficiently detecting and…
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Keywords:
detection;
dynamic task;
dth yolo;
mousehole detection ... See more keywords
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1
Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3178974
Abstract: The ubiquitous mobile portable devices have accelerated the rise of mobile crowdsensing (MCS), a distributed perception paradigm. In MCS, multiple requesters issue their sensing tasks on a server platform, and then the platform distributes the…
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Keywords:
pricing;
task;
dynamic task;
task pricing ... See more keywords
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Published in 2017 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2016.2594147
Abstract: This paper presents experimental results from the real-time parameter estimation of a system model and subsequent trajectory optimization for a dynamic task using the Baxter Research Robot from Rethink Robotics. An active estimator maximizing Fisher…
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Keywords:
estimation;
dynamic task;
baxter research;
research robot ... See more keywords
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Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3061757
Abstract: Multiagent dynamic task assignment of forest fires is a complicated optimization problem because it requires the consideration of multiple factors, such as the spread speed of fires, firefighting speed of agents, the movement speed of…
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Keywords:
optimization;
task;
dynamic task;
task assignment ... See more keywords
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Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3618271
Abstract: This paper mainly studies the dynamic task collaboration scheme of large-scale unmanned aerial vehicle (UAV) swarms based on the consensus theory of multi-agent networks. Firstly, to enhance the adaptability of the UAV swarms in complex…
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Keywords:
task collaboration;
dynamic task;
large scale;
uav swarms ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3541692
Abstract: Inspection images of transmission lines from autonomous aerial vehicle (AAV) often contain complex backgrounds and multicategory of power defects. Similarities in categories and scale differences in objects make the traditional single-category detection methods of power…
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Keywords:
detection;
multicategory power;
power defects;
dynamic task ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3228198
Abstract: The coordinated dynamic task allocation (CDTA) problem for heterogeneous unmanned aerial vehicles (UAVs) in the presence of environment uncertainty is studied in this paper. Dynamic task allocation mainly solves the problem of resource reallocation after…
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Keywords:
reinforcement learning;
dynamic task;
task;
task allocation ... See more keywords
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Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15060588
Abstract: This paper presents a dynamic task planning approach for multi-arm apple-picking robots based on a deep reinforcement learning (DRL) framework incorporating Long Short-Term Memory (LSTM) networks and Proximal Policy Optimization (PPO). In the context of…
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Keywords:
task;
dynamic task;
apple;
task planning ... See more keywords