Data mining is an important field of intelligentcomputing and has been applied in many industries. The large amount of telemetry data accumulated by China's aerospace industry over the years is a warehouse that n...
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The increasing complexity of modern plant systems and the limitations of precise mathematical modeling have led to a shift towards data-driven control methods. These methods present an effective alternative that treat...
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This study addresses the challenge of formation control and navigation in swarms of mobile robots, presenting an innovative algorithm that integrates behavioral approaches with fuzzy logic to calculate behavior weight...
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Ray is a novel distributed computing framework designed for artificial intelligence computations and has been widely applied in various fields. However, its default load balancing algorithm, which is based on the equa...
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Enterprise Resource Planning (ERP) systems have become essential instruments in contemporary corporate operations, offering significant benefits in process optimization and efficient data management. The assurance of ...
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The paper describes the process of the information objects classification in e-learning systems using the mathematical background of fuzzy logic. This approach can be used to improve the process of searching and organ...
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The recent shift towards renewable energy sources, such as wind and solar, has necessitated the development of more robust and adaptive load-frequency control (LFC) techniques. This study explores the application of P...
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One or two RGB-D images cannot provide enough information to detect cut-off points in pruning systems. 3D semantic point clouds constructed from many RGB-D images represent real tomato plants and help the system find ...
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ISBN:
(纸本)9781665499248
One or two RGB-D images cannot provide enough information to detect cut-off points in pruning systems. 3D semantic point clouds constructed from many RGB-D images represent real tomato plants and help the system find the cut-off points correctly. We proposed a method to create 3D semantic point clouds based on ORB-SLAM3, ICP (iterative closet point) algorithm, and semantic segmentation neural network. RGB-D images are converted to semantic images by the semantic segmentation neural network. Each pair of camera poses which is estimated by ORB-SLAM3, and an RGB-D semantic image is used to create a 3D point cloud. The ICP method is applied to stick and refine these point clouds to construct a full 3D semantic point cloud.
This paper presents a comprehensive approach to controlling a Parrot Mambo minidrone in a simulation environment using MATLAB. The primary objective is to guide the drone along a predefined path while maintaining stab...
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We propose a novel hierarchical priority mechanism for deadlock recovery of distributed swarm via on-demand collision avoidance in cluttered dynamic environments. The proposed priority mechanism dynamically assigns ce...
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ISBN:
(纸本)9798350377712;9798350377705
We propose a novel hierarchical priority mechanism for deadlock recovery of distributed swarm via on-demand collision avoidance in cluttered dynamic environments. The proposed priority mechanism dynamically assigns certain priority and an optimized detour point for each agent based on its spatial context to avoid deadlocks which are predicted by properly designed deadlock conditions;as a byproduct, this priority mechanism allows us to effectively resolve livelocks as well. The resulting optimization problem is then solved by polar reformulation and alternating minimization methods. Simulation results demonstrate that, in both static and dynamic environments, our method (termed PriDRAM) outperforms the baseline Alternating Minimization Swarm (AMSwarm) method which does not explicitly account for deadlock recovery, with a 10.5% improvement in average smoothness and a 4.8% reduction in flight time. Moreover, for narrow passages, our method shows a superior performance against the Distributed Linear Safe Corridor (DLSC) method, with a more reasonable passing order and an achievement of up to 40% reduction in flight path length. Finally, we verify the efficacy of our proposed method with a Crazyflie 2.1 quadrotor swarm.
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