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This work presents the application of an aerial manipulation robot for the semi-autonomous installation of clip-type bird flight diverters on overhead power line cables. A custom-made prototype is designed, developed, and experimentally validated. The proposed solution aims to reduce the cost and risk of current procedures carried out by human operators deployed on suspended carts, lifts, or manned helicopters. The system consists of an unmanned aerial vehicle (UAV) equipped with a custom-made tool. This tool allows the high force required for the diverter installation to be generated; however, it is isolated from the aerial robot through a passive joint. Thus, the aerial robot stability is not compromised during the installation. This paper thoroughly describes the designed prototype and the control system for semi-autonomous operation. Flight experiments conducted in an illustrative scenario validate the performance of the system; the tests were carried out in an indoor testbed using a power line cable mock-up.

The augmented reality (AR), has been cataloged like the technology that will have greater penetration in the education sector in the second decade of the XXI century. According to the report horizon 2016, the first research of AR in education point out a positive impact, in collaborative learning and autonomous learning; because it allows potentiating reality with virtual information that can be supported in curricular contents. The present article exposes the development of a prototype with AR technology that simulates the uniform rectilinear movement and free fall of the subject of mechanical physics. The research is of technological development type. Included in three phases: Initially the functional and non-functional requirements were determined, then the architecture was designed using UML diagrams and finally the prototype was developed. As a result, we obtained a mobile prototype with AR with two functions, the first one allows to simulate the movement of a vehicle at a constant speed, the second allows to simulate the fall of objects that are being attracted by gravity. A technical feasibility study was carried out in which the prototype was installed in different mobile devices, without errors. It is concluded that AR has several characteristics that can be applied to educational environments to increase students’ motivation and make them live experiences that are limited access in classrooms.

Poultry farming is an industry recognized worldwide, being one of the main activities in different countries. From the national level, poultry farming is a source of income dedicated to the production of eggs and poultry meat, which has had a constant growth since the mid-twentieth century. This market in Colombia is one of the few economic sectors with permanent growth, this is evidenced by the increase in the per capita figures for this type of product. Nowadays in the market there is no evidence of a low cost system that allows to measure the hens’ position in real time, this necessity being the main objective to develop an electronic module that allows to calculate the frequency of spawning in laying hens, with the purpose that this information can be used by poultry farmers in order to determine what food treatments and environmental conditions improve egg productivity. The materials used for the prototype were; a module cell (independent cage for each bird), an Arduino UNO card, infrared proximity sensor, 12x2 LCD display, MicroSD card module and an SD memory. This investigation is framed in a technological development of experimental type, for the construction of the prototype 3 stages were taken into account; prototype design and its characteristics, final assembly of the prototype and tests and results. In the results found there is evidence of a versatile tool that allows to inform in real time in a graphic way the postures. The tests carried out demonstrate the potential of a low-cost, lightweight and state-of-the-art prototype.