Bo Dai

TL;DR: An actual physical aerial manipulator system is designed and implemented for its system and application research and the preliminary modeling and control was researched and also an experiment for grasping and carry application is conducted.

TL;DR: In this article, the authors proposed a gesture identification-based intelligent unmanned aerial vehicle remote control method, which comprises the following steps of collecting multiple frames of images of different gestures before operation, extracting a hand region and hand feature information according to HSV information, and calculating means and variances of the hand features of the different gestures; collecting a current gesture image by utilizing a binocular camera in operation, and processing and identifying the current gaze image by adopting a multi-feature hierarchical filtering algorithm.

TL;DR: Based on a three-axis turntable, a whole performance assessment testbed of navigation system is designed and implementation and the navigation system performance with Extended Kalman Filer and complementary filter algorithm are compared and analyzed, which verified the feasibility and validity of the system.

TL;DR: In this paper, an acceleration feedback enhanced robust H∞ controller was designed for the UAV in the aerial manipulator, which is based on the hierarchical inner-outer loop control structure of UAV.