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Innovative Development of a Flying robot with a Flexible Manipulator for Aerial Manipulations

Yotov Yavor, Zlatov Nikolay, Hristov Georgi, Zahariev Plamen, Le Chi Hieu, Gao James, Chu Anh My, Nguyen Ho Quang, Huynh Le Minh, Bui Trung Thanh, Mahmud Jamaluddin, Packianather Michael S.

Annals of Computer Science and Information Systems

2022

Vol. 33

49--54

This paper presents an innovative development of a flying robot or an aerial robot, with a flexible manipulator, called the Dexterous Aerial Robotic System (DFTS), for aerial manipulations, especially for inspections and reparations of various structures such as wind turbines, power lines and open gas pipelines, decorations and painting of high industrial chimneys and walls of high buildings, as well as transport and delivery of courier shipments, relocation and manipulation of assemblies and units in inaccessible or dangerous environments. The proposed DFTS consists of two independent but interconnected systems or functional units, which have two main separate functions respectively, including a basic carrying function, and a precise positioning and stabilization function. The system with a basic carrying function is actually the main flying system, the un-manned aerial vehicle (UAV); it is remotely controlled and piloted. Meanwhile, the aerial manipulation platform, called the vertical take-off and landing platform VTOL, which is an active flying platform with 6 degrees of freedom (DOF) is used for positioning and stabilization; and it is attached to the UAV via the soft link. With the use of a long soft link, the problems which are caused by the air turbulent flows generated by the UAV are minimized, and the aerial manipulations of objects are safely controlled and operated. The VTOL which is equipped with a grasping mechanism was successfully developed, prototyped and tested. The experimental results showed that, the developed VTOL can self-stabilize with the inclination angle of being up to 8 degrees.

Novel nature-inspired autonomous guidance of aerial robots formation regarding honey bee artificial algorithm and fuzzy logic

Shafieenejad Iman

Journal of Theoretical and Applied Mechanics

2020

Vol. 58 nr 3

791--798

In this article, a novel nature-inspired autonomous guidance is investigated regarding the honey bee motion algorithm for aerial robots and fuzzy logic. Combination of the bee al- gorithm and fuzzy logic is proposed to achieve an on-line guidance for methodology of this research. The main idea of this work belongs to a novel analogy between honey bees and aerial robots motions. Moreover, information links between the aerial robots are demon- strated to construct a formation of vehicles by updating motions based on fuzzy decision making. Three dimensional simulations for the aerial robots are considered to show the ef- ficient performance of autonomous guidance. The simulation results show precise ability of the proposed method for aerospace and robotics engineers based on a nature phenomenon to present an innovative guidance method.

Enhancing sensor capabilities of walking robots through cooperative exploration with aerial robots

Heppner G., Roennau A., Dillman .

Journal of Automation Mobile Robotics and Intelligent Systems

2013

Vol. 7, No. 2

5--11

Mobile robots can be used to support humans in many applications ranging from simple process automation to complex autonomous inspection tasks. While walking robots are perfectly suited to cross rough terrain, they are not able to detect everything in their environment as certain areas might be occluded or too far away. This paper presents a method of enhancing the sensor capabili- ties of the walking robot LAURON IVc with the use of the lightweight aerial robot ARDrone. A simple method for localization of the ready to use UAV is presented using only color tags and the motor encoders of LAURON. The combination of these two robot types enhances the sensor range of LAURON greatly, while the ARDrone gains localiza tion information from LAURON that acts as a base station.