Insects were the first animals to evolve active flight and remain unsurpassed in many features of flight dynamics and performance. The capacity to move in 3D space provided them with superior abilities in predator-prey interactions and in exploring novel habitats. Among insects, we find animals capable of precise hovering, taking off backwards, flying sideways and landing upside down. In this work, we focused on low flapping frequency insect flight, where the time scales of the wing and body motions are close. The pursuit of our goal is carried out via two different branches.First, we gathered accurate data on the free flight of several species of insects during different aerial maneuvers. Quantitative analysis of the flight behavior was then conducted and comparisons were made with maneuvering flight of high flapping frequency insects. In the second branch of this work, we developed a physics-based model of the insect wing and the mechanical properties of its hinge, and combined it with a model of the unsteady aerodynamics of flapping flight to study actuation of the iv wing pitch. Generation of the aerodynamic force is sensitive to the wing pitch and its dynamics and therefore this motion plays a unique role in executing aerial maneuvers. Quantitative investigations of the wing dynamics were then carried out by varying the wing geometry, kinematics and structural properties. The ratio of the aerodynamic to elastic force, termed as Cauchy number, was identified as the most important parameter in governing wing motion. The analysis of the wing dynamics also revealed a mechanism by which the motions of the wing and body are coupled together. During aerial maneuvers, the body motion alters the balance of forces on the wing, causing the wing kinematics to passively change in response. Furthermore, the changes in the wing kinematics results in altering the force and consequently the body motion. This chain of actions and reactions is the source of coupling in the dynamics of the wing and the body. This phenomenon, which was predicted by our theoretical model and verified by our experimental measurements, cannot be explained by the currently accepted model of the insect flight dynamics. The modifications that were made to the current model based on our analysis and findings resulted in an improved model of the insect flight dynamics that can successfully predict the connection between the wing and body motions during aerial maneuvers.