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Influence of Data Clouds Fusion From 3D RealTime Vision System on Robotic Group Dead Reckoning in Unknown Terrain 被引量:1
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作者 Mykhailo Ivanov oleg sergyienko +5 位作者 Vera Tyrsa Lars Lindner Wendy Flores-Fuentes Julio Cesar Rodriguez-Quinonez Wilmar Hernandez Paolo Mercorelli 《IEEE/CAA Journal of Automatica Sinica》 EI CSCD 2020年第2期368-385,共18页
This paper proposes the solution of tasks set required for autonomous robotic group behavior optimization during the mission on a distributed area in a cluttered hazardous terrain.The navigation scheme uses the benefi... This paper proposes the solution of tasks set required for autonomous robotic group behavior optimization during the mission on a distributed area in a cluttered hazardous terrain.The navigation scheme uses the benefits of the original real-time technical vision system(TVS)based on a dynamic triangulation principle.The method uses TVS output data with fuzzy logic rules processing for resolution stabilization.Based on previous researches,the dynamic communication network model is modified to implement the propagation of information with a feedback method for more stable data exchange inside the robotic group.According to the comparative analysis of approximation methods,in this paper authors are proposing to use two-steps post-processing path planning aiming to get a smooth and energy-saving trajectory.The article provides a wide range of studies and computational experiment results for different scenarios for evaluation of common cloud point influence on robotic motion planning. 展开更多
关键词 Data transfer group behavior machine vision navigation robotic group(RG) vision system
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