Vishnu Kumar Kaliappan1, Tuan Anh Nguyen1, Dugki Min2,*, Jae-Woo Lee1, U. Sakthi3
Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 575-591, 2022, DOI:10.32604/iasc.2022.024577
Abstract In recent years, the applications of rotorcraft-based unmanned aerial vehicles (RUAV) have increased rapidly. In particular, the integration of bio-inspired techniques to enhance intelligence in coordinating multiple Rotorcraft-based Unmanned Aerial Vehicles (RUAVs) has been a focus of recent research and development. Due to the limitation in intelligence, these RUAVs are restricted in flying low altitude with high maneuverability. To make it possible, the RUAVs must have the ability to avoid both static and dynamic obstacles while operating at low altitudes. Therefore, developing a state-of-the-art intelligent control algorithm is necessary to avoid low altitude obstacles and coordinate without collision while executing… More >
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