Implementation of counter testing in Nokia Automation System

In this study the performance measurement, a part of the research and development of the RNC, was improved by implementing counter testing to the Nokia Automation System. The automation of counter testing is a feature the customer ordered, because performing counter testing manually is rather complex. The objective was to implement an automated counter testing system, which once configured correctly, would manage to run the testing and perform the analysis. The requirements for the counter testing were first studied. It was investigated if the auto-mation of the feature was feasible in the meetings with the customer. The basic functionality required for the automation was also drawn. The technologies used in the architecture of the Nokia Automation System were studied. Based on the results of the study, a new technology, wxWidgets, was introduced. The new technology was necessary to facilitate the implementing of the required feature. Finally the implementation of the counter testing was defined and implemented. The result of this study was the automation of the counter testing method developed as a new feature for the Nokia Automation System. The feature meets the specifications and requirements set by the customer. The performing of the counter testing feature is totally automated. Only configuration of the test cases is done by the user. The customer has presented new requests to further develop the feature and there are plans by the Nokia Automation System developers to implement those in the near future. The study describes the implementation of the counter testing feature introduced. The results of the study give guidelines for further developing the feature.

Test automation of digital mammography device

Testing of a complex software is time consuming. Automated tools are available quite a lot for desktop applications, but for embedded systems a custom-made tool is required Building a complete test framework is a complicated task. Therefore, the test platform was built on top of an already existing tool, CANoe. CANoe is a tool for CAN bus analysis and node simulation. The functionality of CANoe was extended with LabVIEW DLL. The LabVIEW software was used for simulating hardware components of the embedded device As a result of the study, a platform was created where tests could be automated. Of the current test plan, 10 percent were automated and up to 60 percent could be automated with the current functionality.

Organizing automation maintenance business in Russia

The target of this thesis is to find out potential of automation maintenance services in Russian industry, especially in the region of St. Petersburg. At the beginning of this study the industrial maintainability and process efficiency are discussed from the point of view of process automation. A survey of the present technology and maintenance methods has been made during five visits to local plants. The results of the interviews are analyzed numerically to clarify the common needs and the potential of automation maintenance services. The most interesting services are evaluated by their required resources to find economically justified solutions for the needs of the industry. As results of this study, some service products that would interest interviewed companies have been introduced. These could be offered to the industry to enhance cost-efficiency and productivity of processes.

Error Modeling and Accuracy Analysis of a Novel Mobile Hybrid Parallel Robot

Over the last decades, calibration techniques have been widely used to improve the accuracy of robots and machine tools since they only involve software modification instead of changing the design and manufacture of the hardware. Traditionally, there are four steps are required for a calibration, i.e. error modeling, measurement, parameter identification and compensation. The objective of this thesis is to propose a method for the kinematics analysis and error modeling of a newly developed hybrid redundant robot IWR (Intersector Welding Robot), which possesses ten degrees of freedom (DOF) where 6-DOF in parallel and additional 4-DOF in serial. In this article, the problem of kinematics modeling and error modeling of the proposed IWR robot are discussed. Based on the vector arithmetic method, the kinematics model and the sensitivity model of the end-effector subject to the structure parameters is derived and analyzed. The relations between the pose (position and orientation) accuracy and manufacturing tolerances, actuation errors, and connection errors are formulated. Computer simulation is performed to examine the validity and effectiveness of the proposed method.

Sensor Fusion of Proprioception, Force and Vision in Estimation and Robot

Sensor-based robot control allows manipulation in dynamic environments with uncertainties. Vision is a versatile low-cost sensory modality, but low sample rate, high sensor delay and uncertain measurements limit its usability, especially in strongly dynamic environments. Force is a complementary sensory modality allowing accurate measurements of local object shape when a tooltip is in contact with the object. In multimodal sensor fusion, several sensors measuring different modalities are combined to give a more accurate estimate of the environment. As force and vision are fundamentally different sensory modalities not sharing a common representation, combining the information from these sensors is not straightforward. In this thesis, methods for fusing proprioception, force and vision together are proposed. Making assumptions of object shape and modeling the uncertainties of the sensors, the measurements can be fused together in an extended Kalman filter. The fusion of force and visual measurements makes it possible to estimate the pose of a moving target with an end-effector mounted moving camera at high rate and accuracy. The proposed approach takes the latency of the vision system into account explicitly, to provide high sample rate estimates. The estimates also allow a smooth transition from vision-based motion control to force control. The velocity of the end-effector can be controlled by estimating the distance to the target by vision and determining the velocity profile giving rapid approach and minimal force overshoot. Experiments with a 5-degree-of-freedom parallel hydraulic manipulator and a 6-degree-of-freedom serial manipulator show that integration of several sensor modalities can increase the accuracy of the measurements significantly.

Optimizing of intelligence level in welding

The productivity, quality and cost efficiency of welding work are critical for metal industry today. Welding processes must get more effective and this can be done by mechanization and automation. Those systems are always expensive and they have to pay the investment back. In this case it is really important to optimize the needed intelligence and this way needed automation level, so that a company will get the best profit. This intelligence and automation level was earlier classified in several different ways which are not useful for optimizing the process of automation or mechanization of welding. In this study the intelligence of a welding system is defined in a new way to enable the welding system to produce a weld good enough. In this study a new way is developed to classify and select the internal intelligence level of a welding system needed to produce the weld efficiently. This classification contains the possible need of human work and its effect to the weld and its quality but does not exclude any different welding processes or methods. In this study a totally new way is developed to calculate the best optimization for the needed intelligence level in welding. The target of this optimization is the best possible productivity and quality and still an economically optimized solution for several different cases. This new optimizing method is based on grounds of product type, economical productivity, the batch size of products, quality and criteria of usage. Intelligence classification and optimization were never earlier made by grounds of a made product. Now it is possible to find the best type of welding system needed to welddifferent types of products. This calculation process is a universal way for optimizing needed automation or mechanization level when improving productivity of welding. This study helps the industry to improve productivity, quality and cost efficiency of welding workshops.

Use of neural networks in robot positioning of large flexible redundant manipulators

Deflection compensation of flexible boom structures in robot positioning is usually done using tables containing the magnitude of the deflection with inverse kinematics solutions of a rigid structure. The number of table values increases greatly if the working area of the boom is large and the required positioning accuracy is high. The inverse kinematics problems are very nonlinear, and if the structure is redundant, in some cases it cannot be solved in a closed form. If the structural flexibility of the manipulator arms is taken into account, the problem is almost impossible to solve using analytical methods. Neural networks offer a possibility to approximate any linear or nonlinear function. This study presents four different methods of using neural networks in the static deflection compensation and inverse kinematics solution of a flexible hydraulically driven manipulator. The training information required for training neural networks is obtained by employing a simulation model that includes elasticity characteristics. The functionality of the presented methods is tested based on the simulated and measured results of positioning accuracy. The simulated positioning accuracy is tested in 25 separate coordinate points. For each point, the positioning is tested with five different mass loads. The mean positioning error of a manipulator decreased from 31.9 mm to 4.1 mm in the test points. This accuracy enables the use of flexible manipulators in the positioning of larger objects. The measured positioning accuracy is tested in 9 separate points using three different mass loads. The mean positioning error decreased from 10.6 mm to 4.7 mm and the maximum error from 27.5 mm to 11.0 mm.

Novel Robot Solutions for Carrying out Field Joint Welding and Machining in the Assembly of the Vacuum Vessel of ITER

It is necessary to use highly specialized robots in ITER (International Thermonuclear Experimental Reactor) both in the manufacturing and maintenance of the reactor due to a demanding environment. The sectors of the ITER vacuum vessel (VV) require more stringent tolerances than normally expected for the size of the structure involved. VV consists of nine sectors that are to be welded together. The vacuum vessel has a toroidal chamber structure. The task of the designed robot is to carry the welding apparatus along a path with a stringent tolerance during the assembly operation. In addition to the initial vacuum vessel assembly, after a limited running period, sectors need to be replaced for repair. Mechanisms with closed-loop kinematic chains are used in the design of robots in this work. One version is a purely parallel manipulator and another is a hybrid manipulator where the parallel and serial structures are combined. Traditional industrial robots that generally have the links actuated in series are inherently not very rigid and have poor dynamic performance in high speed and high dynamic loading conditions. Compared with open chain manipulators, parallel manipulators have high stiffness, high accuracy and a high force/torque capacity in a reduced workspace. Parallel manipulators have a mechanical architecture where all of the links are connected to the base and to the end-effector of the robot. The purpose of this thesis is to develop special parallel robots for the assembly, machining and repairing of the VV of the ITER. The process of the assembly and machining of the vacuum vessel needs a special robot. By studying the structure of the vacuum vessel, two novel parallel robots were designed and built; they have six and ten degrees of freedom driven by hydraulic cylinders and electrical servo motors. Kinematic models for the proposed robots were defined and two prototypes built. Experiments for machine cutting and laser welding with the 6-DOF robot were carried out. It was demonstrated that the parallel robots are capable of holding all necessary machining tools and welding end-effectors in all positions accurately and stably inside the vacuum vessel sector. The kinematic models appeared to be complex especially in the case of the 10-DOF robot because of its redundant structure. Multibody dynamics simulations were carried out, ensuring sufficient stiffness during the robot motion. The entire design and testing processes of the robots appeared to be complex tasks due to the high specialization of the manufacturing technology needed in the ITER reactor, while the results demonstrate the applicability of the proposed solutions quite well. The results offer not only devices but also a methodology for the assembly and repair of ITER by means of parallel robots.

Hiontarobotti-solun tietojärjestelmä

Hiontarobotteja käytetään nopeuttamaan hiontaprosessia ja vähentämään henkilöiden tarvetta tehdä kuluttavaa ja raskasta työtä. Yleensä hiottavat kappaleet ovat suuria, jolloin hionta robotillakin kestää kauan. Kun hiottavat kappaleet ovat pieniä, robotti hioo kappaleen nopeasti. Tällöin tarvitaan automaattinen varastointi, jotta hiontarobotti pystyy jatkamaan nopeasti seuraavan kappaleen hiontaa. Automaattinen varastointi tarvitsee tiedonhallintajärjestelmän, jolla hallitaan varastossa olevien kappaleiden tietoja. Hiottava kappale täytyy esimerkiksi pystyä tunnistamaan ennen hionnan aloittamista. Yhtenä tunnistusmenetelmänä voidaan käyttää radiotaajuudella toimivia RFID-tunnisteita. Kun kappale tunnistetaan ennen hiontaa niin voidaan varmistua, että robotti suorittaa oikean hiontaohjelman kappaleelle. Diplomityö liittyy Master Automation Groupin ensimmäiseen automaattista varastoa hyödyntävään FlexMill™-hiontarobotti-soluun. Työssä on suunniteltu ja toteutettu tietokanta ja siihen liittyvä tietojärjestelmä. Kehitettävä ohjelma toimii solun toiminnasta vastaavan soluohjaimen tiedonhallintaosana. Ohjelma hyödyntää RFID-laitteita kappaleiden tunnistuksessa.

Learning Robot Motions from Visual Sensing

Learning from demonstration becomes increasingly popular as an efficient way of robot programming. Not only a scientific interest acts as an inspiration in this case but also the possibility of producing the machines that would find application in different areas of life: robots helping with daily routine at home, high performance automata in industries or friendly toys for children. One way to teach a robot to fulfill complex tasks is to start with simple training exercises, combining them to form more difficult behavior. The objective of the Master’s thesis work was to study robot programming with visual input. Dynamic movement primitives (DMPs) were chosen as a tool for motion learning and generation. Assuming a movement to be a spring system influenced by an external force, making this system move, DMPs represent the motion as a set of non-linear differential equations. During the experiments the properties of DMP, such as temporal and spacial invariance, were examined. The effect of the DMP parameters, including spring coefficient, damping factor, temporal scaling, on the trajectory generated were studied.

Uuden robottisolun ohjelmointitavan mahdollisuudet pienille ja keskisuurille yrityksille

Robotin ohjelmointi on aikaa vievää ja tarvitsee robotin ohjelmoinnin tuntevan operaattorin toimimaan robotin opettajana. Saadakseen robottisolun kustannustehokkaaksi operaattorilla olisi hyvä olla useampi solu hoidettavanaan samaan aikaan. Tämä ei ole suuri ongelma suurille yrityksille, joissa voi olla kymmeniä robottisoluja. Jos kyseessä on pieni tai keskisuuri yritys, automatisointi-investointi voi jäädä tekemättä ohjelmoinnin vaikeuden aiheuttaman ongelman vuoksi. Diplomityössä keskityttiin tutkimaan robotisointia pienten ja keskisuurten yritysten kannalta. Teoriaosassa on keskitytty robottisolun suunnittelun kannalta tarvittaviin perustietoihin robotin rakenteesta, ohjausjärjestelmästä, ohjelmoinnista sekä turvallisuudesta. Näiden perustietojen lisäksi on huomioitu hitsauksen automatisointia sekä taluttamalla ohjelmoitavan robottisolun tekninen konsepti. Taluttamalla ohjelmoitavan robottisolun konseptin käsittelyosassa on myös perehdytty taluttamalla ohjelmoinnin vaatimiin komponentteihin kuten voima/vääntö-anturi. Robottisolun suunnittelu on tehtävä koneasetuksen vaatimusten mukaan. Turvallisuus osiossa on käsitelty koneasetuksen vaatimuksia koneensuunnittelulle ja käytännön osassa on käsitelty Winnovan taluttamalla ohjelmoitavan robottisolun suunnittelua koneasetuksen ohjeiden mukaan. Käytännön osassa on tutkittu taluttamalla ohjelmoinnin tuomia etuja muihin ohjelmointimenetelmiin nähden sekä suoritettu investointilaskelmat taluttamalla ohjelmoitavasta ja opettamalla ohjelmoitavasta robottisolusta. Koetuloksista nähdään taluttamalla ohjelmoinnin olevan nopeampi ja yksinkertaisempi tapa ohjelmoida robottia kuin opettamalla ohjelmointi. Investointilaskelmien vertailusta nähdään taluttamalla ohjelmoinnin tulevan opettamalla ohjelmointia edullisemmaksi vaihtoehdoksi käyttökustannusten edullisuuden ansiosta.

Mobile Teleoperation of a Mobile Robot

This thesis describes the design and implementation of a graphical application on a mobile device to teleoperate a mobile robot. The department of information technology in Lappeenranta University conducts research in robotics, and the main motivation was to extend the available teleoperation applications for mobile devices. The challenge was to port existing robot software library onto an embedded device platform, then develop a suitable user interface application that provides sufficient functionality to perform teleoperation tasks over a wireless communication network. This thesis involved investigating previous teleoperation applications and conducted similar experiments to test and evaluate the designed application for functional activity and measure performance on a mobile device which have been identified and achieved. The implemented solution offered good results for navigation purposes particularly for teleoperating a visible robot and suggests solutions for exploration when no environment map for the operator is present.

Alumiiniveneen rungon modulointi robottihitsauksen tehostamiseksi

Alumiiniveneiden valmistuksessa hitsauksen automatisointiaste on hyvin matala. Kilpailukyvyn säilyttämiseksi on tärkeää saada automatisointiastetta nostettua ja tätä kautta hitsauskustannuksia alennettua. Automatisoinnin esteenä ei ole teknologian puute, vaan ongelmana on alumiiniveneiden rakenteen huono soveltuvuus automatisoituun tuotantoon. Rakenteen kehittäminen modulaariseksi on yksi mahdollisuus tehostaa robottihitsausta venerunkojen valmistuksessa. Tässä diplomityössä tutkittiin modulaarisuutta, modulointiin johtavia tekijöitä sekä modulaarisuudella mahdollisesti saavutettavia etuja valmistavassa teollisuudessa ja erityisesti robottihitsauksessa. Lisäksi käsiteltiin modulointiin läheisesti liittyvää valmistus- ja kokoonpanoystävällistä suunnittelua. Työssä tehtiin modulointiesimerkki huviveneen rungon robottihitsauksen tehostamiseksi. Veneen runko ja siihen suunniteltu jäykisterakennemoduuli mallinnettiin käyttäen SolidWorks-ohjelmistoa sekä Delmia V5-ohjelmistoon sisällytettyä Catia V5-suunnitteluympäristöä. Suunnitellun modulaarisen rakenteen hitsattavuutta ja hitsaukseen kuluvaa aikaa simuloitiin Delmia V5-ohjelmistolla. Modulaarisen rakenteen avulla robottihitsattavuutta on mahdollista tehostaa erityisesti rungon sisäisen jäykisterakenteen osalta. Kun tuotteesta on suurempi osa hitsattavissa robotin avulla, on myös robotisointi-investoinnit kannattavampia. Modulaarisuuden avulla voidaan päästä myös pienillä tuotantomäärillä sarjatuotannon etuihin, kun samaa moduulia voidaan käyttää vähäisillä muutoksilla useammassa eri venemallissa.

Challenges of business process automation for small and medium enterprises

The aim of the study was to examine problems that small and medium enterprises are facing during the implementation of business process automation projects. Study reveals problems from the point of view of companies who are implementing automation projects and from the point of view of IT-integrators who are specifying in IT solutions for small and medium companies.

Learning Robot Environment through Simulation

Traditionally simulators have been used extensively in robotics to develop robotic systems without the need to build expensive hardware. However, simulators can be also be used as a “memory”for a robot. This allows the robot to try out actions in simulation before executing them for real. The key obstacle to this approach is an uncertainty of knowledge about the environment. The goal of the Master’s Thesis work was to develop a method, which allows updating the simulation model based on actual measurements to achieve a success of the planned task. OpenRAVE was chosen as an experimental simulation environment on planning,trial and update stages. Steepest Descent algorithm in conjunction with Golden Section search procedure form the principle part of optimization process. During experiments, the properties of the proposed method, such as sensitivity to different parameters, including gradient and error function, were examined. The limitations of the approach were established, based on analyzing the regions of convergence.