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We describe a novel quadrotor Micro Air Vehicle (MAV) system that is designed to use computer vision algorithms within the flight control loop. The main contribution is a MAV system that is able to run both the vision-based flight control and stereo-vision-based obstacle detection parallelly on an embedded computer onboard the MAV. The system design features the integration of a powerful onboard computer and the synchronization of IMU-Vision measurements by hardware timestamping which allows tight integration of IMU measurements into the computer vision pipeline. We evaluate the accuracy of marker-based visual pose estimation for flight control and demonstrate marker-based autonomous flight including obstacle detection using stereo vision. We also show the benefits of our IMU-Vision synchronization for egomotion estimation in additional experiments where we use the synchronized measurements for pose estimation using the 2pt+gravity formulation of the PnP problem. [ABSTRACT FROM AUTHOR]

The paper briefly overviews the application of membrane and jet pneumatic devices in control systems. The most promising lines of development in the field are discussed. [ABSTRACT FROM AUTHOR]

The results of calculation of the required lateral range are presented for the orbital reentry of a spacecraft having a preset inclination and preset ascending node longitude to land at a preset point on the Earth's surface. The suboptimum laws of roll angle variation in velocity are determined, which allows one to reach the maximum available lateral range for a given value of constant lift-to-drag ratio taking into account constraints imposed on the maximum equilibrium temperature. [ABSTRACT FROM AUTHOR]