Michael DorothyAditya A. ParanjapeP. Daniel KuangSoon‐Jo Chung
THERE is a growing interest in the aerospace community in the development of robotic micro aerial vehicles (MAVs) to learn and mimic avian flight. MAVs fly in low-Reynolds-number regimes of 103 to 105, which corresponds to that of small birds or bats [1]. MAVs with wings equipped with multiple degrees of freedom such as flapping, wing twist, and sweep provide greater payload capability than insect-like MAVs and greater maneuverability than conventional fixed-wing aircraft. These MAVs can be used for intelligence gathering, surveillence, and reconnaissance missions in tightly constrained spaces such as forests and urban areas. Advances in actuators and control systems have led to development and analysis of articulated and flapping MAVs inspired by animals [2–5]. Birds and bats achieve remarkable stability and perform agile manuevers using their wings very effectively [2]. One of the goals of reverse-engineering animal flight is to learn more about the various aspects of avian flight such as stability, maneuverability, and control from the dynamics of MAV.
Özgün ÇalışKutluk Bilge ArıkanDilek Funda Kurtuluş
Pavel ZikmundMiroslav MacíkPetr DvořákZdeněk Míkovec
Gheorghe BungetStefan Seelecke
Soon‐Jo ChungJeremiah StonerMichael Dorothy