Exploiting Image Moments for Aerial Manipulation Control

Author(s):  
Rafik Mebarki ◽  
Vincenzo Lippiello ◽  
Bruno Siciliano

This paper proposes a new visual servo control scheme that endows flying manipulators with the capability of positioning with respect to visual targets. A camera attached to the UAV provides real-time images of the scene. We consider the approaching part of an aerial assembling task, where the manipulator carries a structure to be plugged into the visual target. In order to augment the system capabilities regarding the 3D interaction with the target, we propose to use image moments. The developed controller generates desired velocities to both the UAV and the manipulator, simultaneously. While taking into account the under-actuation specific to rotary-wing vehicles, it makes use of the system redundancy to realize potential sub-tasks. The joints limits avoidance is also guaranteed. The presented developments are validated by means of computer simulations.

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xue Li ◽  
Bing Liu ◽  
Changda Zhang

In the real-time control of networked inverted pendulum visual servo control system (NIPVSCS), how to achieve safe and efficient image transmission is an important and challenging problem. Generally, the inverted pendulum images are directly transmitted via the network, while these images are not secure because they may be attacked by the hacker. To solve the problem, a fast image encryption method by combining image scaling and improved self-diffusion image encryption (ISDIE) algorithm is firstly proposed, which is employed to encrypt the captured images after they are scaled. The security performance of the proposed algorithm, the characteristics of different delays, and the control performance of the NIPVSCS are then analyzed. Finally, simulation and real-time control experiments confirm the feasibility and effectiveness of the proposed method.


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