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Titlebook: Intelligent Robotics and Applications; 12th International C Haibin Yu,Jinguo Liu,Dalin Zhou Conference proceedings 2019 Springer Nature Swi

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21#
發(fā)表于 2025-3-25 05:48:10 | 只看該作者
Equal Gain Combining Based Sub-optimum Posterior Noncoherent Fusion Rule for Wireless Sensor Networkx for widely practical applications. In this contribution, a novel noncoherent detector named equal gain combining aided sub-optimum MAP (EGC-SMAP) is employed for the fusion detection in wireless sensor networks (WSNs). Explicate, our proposed EGC-SMAP fusion rule starts the detecting via EGC princ
22#
發(fā)表于 2025-3-25 08:53:51 | 只看該作者
23#
發(fā)表于 2025-3-25 14:05:13 | 只看該作者
24#
發(fā)表于 2025-3-25 16:53:47 | 只看該作者
25#
發(fā)表于 2025-3-25 20:12:03 | 只看該作者
26#
發(fā)表于 2025-3-26 01:02:04 | 只看該作者
27#
發(fā)表于 2025-3-26 05:02:04 | 只看該作者
Indoor Environment RGB-DT Mapping for Security Mobile Robotswing security demand for environment perception is a key issue of mapping or frequent updating in the long term, such as fire detection in early stage. A hybrid mapping method is proposed based on fusing RGB, depth and thermal (DT) information from Kinect and infrared sensors equipped in the mobile
28#
發(fā)表于 2025-3-26 10:56:08 | 只看該作者
Navigate to Remember: A Declarative Memory Model for Incremental Semantic Mappingx environments must constantly acquire and refine knowledge over long periods of time. In this paper, we propose a novel recurrent neural architecture that mimics humans’ declarative memory system for continuously generating a cognitive map during robot navigation. The proposed method termed as Decl
29#
發(fā)表于 2025-3-26 16:17:50 | 只看該作者
30#
發(fā)表于 2025-3-26 18:26:08 | 只看該作者
Observer and Controller Design for State-Delay Takagi-Sugeno Fuzzy Systems Subjected to Unknown Time delays. First, a novel fuzzy observer is proposed to synchronously estimate the system state and the disturbance term caused by the unknown output delays. Then, along with the fuzzy observer, a fuzzy controller is designed to ensure the stability of the overall system by Lyapunov-based analysis. Fi
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