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Weighted Bearing-Compass Dynamics: Edge and Leader Selection

Eric Schoof, Airlie Chapman, Mehran Mesbahi

发表年份
2017
引用次数
14

摘要

This paper considers the design and effective interfaces of a distributed robotic formation running planar weighted bearing-compass dynamics. We present results that support methodologies to construct formation topologies using submodular optimization techniques. Further, a convex optimization framework is developed for the selection of edge weights which increase performance. We explore a method to select leader agents that can translate and scale the formation, and a corresponding controller that promotes the formation keeping its overall shape intact during manipulation. The results are supported with examples that illustrate the approach and their differing levels of performance.

关键词

Submodular set functionCompassEnhanced Data Rates for GSM EvolutionSelection (genetic algorithm)Computer scienceMathematical optimizationBearing (navigation)Regular polygonMathematicsArtificial intelligence

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