Overview of modern teaching equipment that supports distant learning

Laboratory is a key element of engineering and applied sciences educational systems. With the development of Internet and connecting IT technologies, the appearance of remote laboratories was inevitable. Virtual laboratories are also available; they place the experiment in a simulated environment. However, this writing focuses on remote experiments not virtual ones. From the students’ point of view, it is a great help not only for those enrolling in distant or online courses but also for those studying in a more traditional way. With the spread of smart, portable devices capable of connection to the internet, students can expand or restructure time spent on studying. This is a huge help to them and also allows them to individually divide their time up, to learn how to self-study. This independent approach can prepare them for working environments. It offers flexibility and convenience to the students. From the universities’ point of view, it helps reduce maintenance costs and universities can share experiments which also helps the not so well-resourced educational facilities

Bacterial Memetic Algorithm Trained Fuzzy System-Based Model of Single Weld Bead Geometry

This article presents a fuzzy system-based modeling approach to estimate the weld bead geometry (WBG) from the welding process variables (WPVs) and to achieve a specific weld bead shape. The bacterial memetic algorithm (BMA) is applied to solve these problems in two different roles, as a supervised trainer, and as an optimizer. As a supervised trainer, the BMA is applied to tune two different WBG models. The bead geometry properties (BGP) model follows a traditional approach providing the WBG properties as outputs. The direct profile measurement (DPM) model describes the bead profiles points by a non-linear function realized in the form of fuzzy rules. As an optimizer, the BMA utilizes the developed fuzzy systems to find the solution sets of WPVs to acquire the desired WBG. The best performance is achieved by applying six rules in the BGP model and eleven rules in the DPM model. The results indicate that the normalized root means square error for the validation data set lies in the range of 0:40 - 1:56% for the BGP model and 4:49 - 7:52% for the DPM model. The comparative analysis suggests that the BGP model estimates the BWG in a superior manner when several WPVs are altered. The developed fuzzy systems provide a tool for interpreting the effects of the WPVs. The developed optimizer provides multiple valid set of WPVs to produce the desired WBG, thus supporting the selection of those process variables in applications

Some Results Of Control And Simulation Of Neuro Arm Robot

In this paper they are presented the control algorithms of integer and fractional order PID control in the position control of a 3 DOF`s robotic system (NeuroArm).Finally, the effectiveness of proposed control is illustrated on given robot as well as using model of NeuroArm

Some Results Of Control And Simulation Of Neuro Arm Robot

In this paper they are presented the control algorithms of integer and fractional order PID control in the position control of a 3 DOF`s robotic system (NeuroArm).Finally, the effectiveness of proposed control is illustrated on given robot as well as using model of NeuroArm

Bead geometry modeling on uneven base metal surface by fuzzy systems for multi-pass welding

This paper presents a modeling method of weld bead profiles deposited on uneven base metal surfaces and its application in multi-pass welding. The robotized multi-pass tungsten inert gas welding requires precise positioning of the weld beads to avoid welding defects and achieve the desirable welding join since the weld bead shapes depend on the surface of the previously deposited beads. The proposed model consists of fuzzy systems to estimate the coefficients of the profile function. The characteristic points of the trapezoidal membership functions in the rule bases are tuned by the Bacterial Memetic Algorithm during supervised training. The fuzzy systems are structured as multiple-input-single-output systems, where the inputs are the welding process variables and the coefficients of the shape functions of the segments underlying the modeled bead; the outputs are the coefficients of the bead shape function. Each segment surface is approximated by a second-order polynomial function defined in the weld bead’s local coordinate system. The model is developed from empirical data collected from single and multi-pass welding. The performance of the proposed model is compared with a multiple linear regression model. During the experimental validation, first, the individual beads are evaluated by comparing the estimated coefficients of the profile function and other bead characteristics (bead area, width, contact angles, and position of the toe points) with the measurements, and the estimations of a multiple linear regression model. Second, the sequential placement of the weld beads is evaluated while filling a straight Vgroove by comparing the estimated bead characteristics with the measurements and calculating the accumulated error of the filled groove cross-section. The results show that the proposed model provides a good estimation of the bead shapes during deposition on uneven base metal surfaces and outperforms the regression model with low error in both validation cases. Furthermore, it is experimentally validated that the derived bead characteristics provide a suitable measure to identify locations sensitive to welding defects

Telemanipuláció intelligens térben = Telemanipulation in Intelligent Space

A jelen OTKA pályázat személyes kapcsolaton alapuló nemzetközi együttműködéseknek nyújtott anyagi hátteret. Az eredmények bemutatására két nemzetközi demonstráció készült. A budapesti 3D virtuális kiterjesztett valóságot az interneten keresztül összekapcsoltuk egy tokiói és egy narviki intelligens térrel. Az első esetben egy mobil robotot vezéreltünk. Az operátor a japán labor 3D animált másában Budapesten irányított egy animált robotot. Az animált mobil robot mozgását leíró információt az interneten keresztül közvetítette a tokiói intelligens térhez, amely ennek megfelelően irányította a valóságos mobil robotot. A japán mobil robot mozgását az ottani intelligens tér elosztott intelligenciájú érzékelők segítségével érzékelte, és a mozgásállapotra vonatkozó adatokat visszaküldte a magyar virtuális 3D térbe, ahol a virtuális mobil robot a japán mobil robottal kvázi szinkronban mozgott. A második demonstrációban egy mozgáskövető adatruhát viselő norvég operátor kezének mozgatásával mutatta meg, hogy milyen pályát kellene követnie az ipari robotnak. Egy budapesti ipari robot a gesztusokkal kiadott és interneten közvetített parancsokat végrehajtotta. Ez a robotok programozásának teljesen új paradigmája, amely nem igényel robotprogramozási szakértelmet. Megoldott tudományos kihívások: Az internet okozta idő késleltetés kompenzálása, Robot mozgása közben fellépő súrlódás kompenzálása, Ember-gép interakció alternatív kognitív kommunikációs csatornán keresztül. | This OTKA project provided financial background for international cooperations based on personal contacts. Two international demonstrations were made to present achievements of the project. The 3D augmented reality, located in Budapest, was connected to intelligent spaces in Tokyo and Narvik. In the first demonstration a mobile robot was controlled. The Hungarian operator entered into the 3D animated copy of the real laboratory located in Tokyo to operate an animated robot. Its motion data was sent to Tokyo to the Intelligent Space via internet. The Intelligent Space controlled a real mobile robot according to the data received from Budapest. It monitored the movement of the real robot with distributed intelligent sensors. The motion data of the real robot was sent back to the Hungarian 3D virtual space, where the movement of the real and animated robot was synchronised. In the second demonstration the Norwegian operator, wearing a motion caption data suite, showed – with his hand - the desired motion of the industrial robot. The industrial robot in Budapest received the motion data via internet and carried out the commands, that were originally given by gestures in Norway. This is a new paradigm of robot programming, since it does not require qualified knowledge of robot programming. Solved challenges: Compensation of the effects caused by time delay and frictions of robot movement, human-machine interaction via alternative cognitive communication channel

Simplified Human-Robot Interaction: Modeling and Evaluation

In this paper a novel concept of human-robot interaction (HRI) modeling is proposed. Including factors like trust in automation, situational awareness, expertise and expectations a new user experience framework is formed for industrial robots. Service Oriented Robot Operation, proposed in a previous paper, creates an abstract level in HRI and it is also included in the framework. This concept is evaluated with exhaustive tests. Results prove that significant improvement in task execution may be achieved and the new system is more usable for operators with less experience with robotics; personnel specific for small and medium enterprises (SMEs)

Overview of modern teaching equipment that supports distant learning

Laboratory is a key element of engineering and applied sciences educational systems. With the development of Internet and connecting IT technologies, the appearance of remote laboratories was inevitable. Virtual laboratories are also available; they place the experiment in a simulated environment. However, this writing focuses on remote experiments not virtual ones. From the students’ point of view, it is a great help not only for those enrolling in distant or online courses but also for those studying in a more traditional way. With the spread of smart, portable devices capable of connection to the internet, students can expand or restructure time spent on studying. This is a huge help to them and also allows them to individually divide their time up, to learn how to self-study. This independent approach can prepare them for working environments. It offers flexibility and convenience to the students. From the universities’ point of view, it helps reduce maintenance costs and universities can share experiments which also helps the not so well-resourced educational facilities