930 resultados para programming of robots
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Acknowledgements Financial support for composing this article was obtained from the Agriculture and Horticulture Development Board (AHDB, Beef and Lamb), UK. Concept of review was also initiated from discussions originating from EU COST Action FA1201, Epiconcept: Epigenetics and Periconception Environment
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Exogenous androgenic steroids applied to pregnant sheep programmes a PCOS-like phenotype in female offspring. Via ultrasound guidance we applied steroids directly to ovine fetuses at d62 and d82 of gestation, and examined fetal (day 90 gestation) and postnatal (11 months old) pancreatic structure and function. Of three classes of steroid agonists applied (androgen - Testosterone propionate (TP), estrogen - Diethystilbesterol (DES) and glucocorticoid - Dexamethasone (DEX)), only androgens (TP) caused altered pancreatic development. Beta cell numbers were significantly elevated in prenatally androgenised female fetuses (P=0.03) (to approximately the higher numbers found in male fetuses), whereas alpha cell counts were unaffected, precipitating decreased alpha:beta cell ratios in the developing fetal pancreas (P=0.001), sustained into adolescence (P=0.0004). In adolescence basal insulin secretion was significantly higher in female offspring from androgen-excess pregnancies (P=0.045), and an exaggerated, hyperinsulinaemic response to glucose challenge (P=0.0007) observed, whereas prenatal DES or DEX treatment had no effects upon insulin secretion. Postnatal insulin secretion correlated with beta cell numbers (P=0.03). We conclude that the pancreas is a primary locus of androgenic stimulation during development, giving rise to postnatal offspring whose pancreas secreted excess insulin due to excess beta cells in the presence of a normal number of alpha cells.
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Oocytes are arrested for long periods of time in the prophase of the first meiotic division (prophase I). As chromosome condensation poses significant constraints to gene expression, the mechanisms regulating transcriptional activity in the prophase I-arrested oocyte are still not entirely understood. We hypothesized that gene expression during the prophase I arrest is primarily epigenetically regulated. Here we comprehensively define the Drosophila female germ line epigenome throughout oogenesis and show that the oocyte has a unique, dynamic and remarkably diversified epigenome characterized by the presence of both euchromatic and heterochromatic marks. We observed that the perturbation of the oocyte's epigenome in early oogenesis, through depletion of the dKDM5 histone demethylase, results in the temporal deregulation of meiotic transcription and affects female fertility. Taken together, our results indicate that the early programming of the oocyte epigenome primes meiotic chromatin for subsequent functions in late prophase I.
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The liver is an important metabolic and endocrine organ in the fetus but the extent to which its hormone receptor (R) sensitivity is developmentally regulated in early life is not fully established. We, therefore, examined developmental changes in mRNA abundance for the growth hormone (GH) and prolactin (PRL) receptors (R) plus insulin-like growth factor (IGF)-I and –II and their receptors. Fetal and postnatal sheep were sampled at either 80, or 140 days gestation, 1, 30 days or six months of age. The effect of maternal nutrient restriction between early to mid (i.e. 28 to 80 days gestation, the time of early liver growth) gestation on gene expression was also examined in the fetus and juvenile offspring. Gene expression for the GHR, PRLR and IGF-IR increased through gestation peaking at birth, whereas IGF-I was maximal near to term. In contrast, IGF-II mRNA decreased between mid and late gestation to increase after birth whereas IGF-IIR remained unchanged. A substantial decline in mRNA abundance for GHR, PRLR and IGF-IR then occurred up to six months. Maternal nutrient restriction reduced GHR and IGF-IIR mRNA abundance in the fetus, but caused a precocious increase in the PRLR. Gene expression for IGF-I and –II were increased in juvenile offspring born to nutrient restricted mothers. In conclusion, there are marked differences in the developmental ontogeny and nutritional programming of specific hormones and their receptors involved in hepatic growth and development in the fetus. These could contribute to changes in liver function during adult life.
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This study investigated the developmental and nutritional programming of two important mitochondrial proteins, namely voltage dependent anion channel (VDAC) and cytochrome c in the sheep kidney, liver and lung. The effect of maternal nutrient restriction between early to mid gestation (i.e. 28 to 80 days gestation, the period of maximal placental growth) on the abundance of these proteins was also examined in fetal and juvenile offspring. Fetuses were sampled at 80 and 140 days gestation (term ~147 days), and postnatal animals at 1 and 30 days and 6 months of age. The abundance of VDAC peaked at 140 days gestation in the lung, compared with 1 day after birth in the kidney and liver, whereas cytochrome c abundance was greatest at 140 days gestation in the liver, 1 day after birth in the kidney and 6 months of age in lungs. This differential ontogeny in mitochondrial protein abundance between tissues was accompanied with very different tissue specific responses to changes in maternal food intake. In the liver, maternal nutrient restriction only increased mitochondrial protein abundance at 80 days gestation, compared with no effect in the kidney. In contrast, in the lung mitochondrial protein abundance was raised near to term, whereas VDAC abundance was decreased by 6 months of age. These findings demonstrate the tissue specific nature of mitochondrial protein development that reflects differences in functional adaptation after birth. The divergence in mitochondrial response between tissues to maternal nutrient restriction early in pregnancy further reflects these differential ontogeny’s.
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Diplomityö koostuu teoria- ja tutkimusosasta. Teoriaosassa on käsitelty robottihitsaus-järjestelmän hankinnan edellytyksiä asiakasohjautuvan yksittäis- ja piensarjatuotannon lähtökohdista. Tarkastelun osa-alueita ovat asiakasohjautuva tuotanto, robottihitsaus yksittäis- ja piensarjatuotannossa, robottien ohjelmointimenetelmät, robottihitsauksen laatu ja laadunvarmistus, tehokkuus, tuottavuus, kannattavuus, robottihitsattavan tuotteen ja robottihitsausjärjestelmän suunnittelu, robottihitsausaseman turvallisuus sekä robotti-järjestelmän toteutus ja käyttöönotto. Teoriaosa on koottu siten, että sitä voidaan käyttää myös oppimateriaalina. Siinä esitetään myös sovellusesimerkki Imatran ammattikoululla toteutetusta robottihitsausaseman turvallisuusrakenneratkaisusta, jonka on suunnitellut ja toteuttanut diplomityön laatija. Diplomityön tutkimusosassa selvitetään kyselytutkimuksen avulla robottihitsauksen käyt-töönoton edellytyksiä asiakasohjautuvassa yksittäis- ja piensarjatuotannossa eteläkarjalai-sissa konepaja- ja metallialan yrityksissä. Tutkimukseen mukaan valituille 25 yritykselle ja yrityksistä valituille vastuuhenkilöille lähetettiin kirjallinen kyselytutkimus, johon vastaus saatiin 17 yritykseltä. Diplomityön tavoitteena oli selvittää robottihitsauksen käyttöönoton edellytyksiä. Tutkimuksella haettiin tietoja myös muusta yritysten suunnittelemasta hitsaus-tuotannon kehittämisestä kuten mekanisoinnista ja sen nykytilasta sekä muista mahdollisista hitsaukseen liittyvistä hankkeista. Tutkimustulosten perusteella on todettavissa, että Etelä-Karjalassa toimivista asiakas-ohjautuvista yksittäis- ja piensarjatuotantoa harjoittavista konepaja- ja metallialan yri-tyksistä löytyy yrityksiä, jotka ovat kiinnostuneita robottihitsausjärjestelmän hankinnasta, mutta saatujen tulosten perusteella voidaan todeta, että edellytyksiä siihen ei vielä näyttäisi olevan. Syiksi robottihitsausjärjestelmän hankinnan edellytysten puuttumiseen voidaan mainita muun muassa sopimaton tuoterakenne, liian yksilölliset tuotteet ja pienet sarjat, joilla ei ole toistuvuutta. Lisäksi yritykset toimivat pelkästään alihankintayrityksinä eikä niillä ole omaa tuotetta. Robottihitsausjärjestelmän hankinta voisi olla mahdollista niissä yrityksissä, jotka ovat verkottuneet, toimivat vakaavaraisesti ja joiden viennistä osa suuntautuu välillisesti tai välittömästi ulkomaille. Yhteistyöverkkojen voidaan olettaa parantavan robottihitsaus-järjestelmän hankinnan mahdollisuuksia. Tällöin kustannuksia voidaan jakaa usealle eri yritykselle ja siten voidaan tehostaa myös järjestelmän käyttöastetta sekä hankkia uusia asiakkaita. Kaksi yrityksistä on harkinnut joko oman tai leasing-robottihitsausjärjestelmän hankintaa. Ongelmina robottihitsausjärjestelmän yhteishankinnalle pidettiin esim. kenen tiloihin järjestelmä hankitaan, kuka huolehtii kunnossapidosta, miten palkat maksetaan työntekijöille ja miten käytössä oleva työaika jaetaan eri yrityksille. Diplomityön johtopäätökset ja suositukset osassa esitetään muutamia jatkotoimenpide-ehdotuksia siitä, kuinka tiettyjen yritysten osalta voitaisiin robottihitsauksen käyttöönottoa edistää. Tutkimuksen tuloksena saatua tietoa hyödynnetään muun muassa Lappeenrannan teknillisen yliopiston tutkimus- ja koulutushankkeissa sekä toisen asteen kone- ja metallitekniikan koulutuksen suunnittelussa ja toteutuksessa.
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In this text, we intend to explore the possibilities of sound manipulation in a context of augmented reality (AR) through the use of robots. We use the random behaviour of robots in a limited space for the real-time modulation of two sound characteristics: amplitude and frequency. We add the possibility of interaction with these robots, providing the user the opportunity to manipulate the physical interface by placing markers in the action space, which alter the behaviour of the robots and, consequently, the audible result produced. We intend to demonstrate through the agents, programming of random processes and direct manipulation of this application, that it is possible to generate empathy in interaction and obtain specific audible results, which would be difficult to otherwise reproduce due to the infinite loops that the interaction promotes.
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Research on autonomous intelligent systems has focused on how robots can robustly carry out missions in uncertain and harsh environments with very little or no human intervention. Robotic execution languages such as RAPs, ESL, and TDL improve robustness by managing functionally redundant procedures for achieving goals. The model-based programming approach extends this by guaranteeing correctness of execution through pre-planning of non-deterministic timed threads of activities. Executing model-based programs effectively on distributed autonomous platforms requires distributing this pre-planning process. This thesis presents a distributed planner for modelbased programs whose planning and execution is distributed among agents with widely varying levels of processor power and memory resources. We make two key contributions. First, we reformulate a model-based program, which describes cooperative activities, into a hierarchical dynamic simple temporal network. This enables efficient distributed coordination of robots and supports deployment on heterogeneous robots. Second, we introduce a distributed temporal planner, called DTP, which solves hierarchical dynamic simple temporal networks with the assistance of the distributed Bellman-Ford shortest path algorithm. The implementation of DTP has been demonstrated successfully on a wide range of randomly generated examples and on a pursuer-evader challenge problem in simulation.
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High altitude constitutes an exciting natural laboratory for medical research. While initially, the aim of high-altitude research was to understand the adaptation of the organism to hypoxia and find treatments for altitude-related diseases, over the past decade or so, the scope of this research has broadened considerably. Two important observations led to the foundation for the broadening of the scientific scope of high-altitude research. First, high-altitude pulmonary edema (HAPE) represents a unique model which allows studying fundamental mechanisms of pulmonary hypertension and lung edema in humans. Secondly, the ambient hypoxia associated with high-altitude exposure facilitates the detection of pulmonary and systemic vascular dysfunction at an early stage. Here, we review studies that, by capitalizing on these observations, have led to the description of novel mechanisms underpinning lung edema and pulmonary hypertension and to the first direct demonstration of fetal programming of vascular dysfunction in humans.
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One of the problems that slows the development of off-line programming is the low static and dynamic positioning accuracy of robots. Robot calibration improves the positioning accuracy and can also be used as a diagnostic tool in robot production and maintenance. A large number of robot measurement systems are now available commercially. Yet, there is a dearth of systems that are portable, accurate and low cost. In this work a measurement system that can fill this gap in local calibration is presented. The measurement system consists of a single CCD camera mounted on the robot tool flange with a wide angle lens, and uses space resection models to measure the end-effector pose relative to a world coordinate system, considering radial distortions. Scale factors and image center are obtained with innovative techniques, making use of a multiview approach. The target plate consists of a grid of white dots impressed on a black photographic paper, and mounted on the sides of a 90-degree angle plate. Results show that the achieved average accuracy varies from 0.2mm to 0.4mm, at distances from the target from 600mm to 1000mm respectively, with different camera orientations.
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One of the most important characteristics of intelligent activity is the ability to change behaviour according to many forms of feedback. Through learning an agent can interact with its environment to improve its performance over time. However, most of the techniques known that involves learning are time expensive, i.e., once the agent is supposed to learn over time by experimentation, the task has to be executed many times. Hence, high fidelity simulators can save a lot of time. In this context, this paper describes the framework designed to allow a team of real RoboNova-I humanoids robots to be simulated under USARSim environment. Details about the complete process of modeling and programming the robot are given, as well as the learning methodology proposed to improve robot's performance. Due to the use of a high fidelity model, the learning algorithms can be widely explored in simulation before adapted to real robots. © 2008 Springer-Verlag Berlin Heidelberg.
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[EN]One of the main issues of the current education system is the lack of student motivation. This aspect together with the permanent change that the Information and Communications Technologies involve represents a major challenge for the teacher: to continuously update contents and to keep awake the student’s interest. A tremendously useful tool in classrooms consists on the integration of projects with participative and collaborative dynamics, where the teacher acts mainly as a guidance to the student activity instead of being a mere knowledge and evaluation transmitter. As a specific example of project based learning, the EDUROVs project consists on building an economic underwater robot using low cost materials, but allowing the integration and programming of many accessories and sensors with minimum budget using opensource hardware and software.