Learning Robotics for youngsters - the RoboParty experience

Series: "Advances in intelligent systems and computing , ISSN 2194-5357, vol. 417"

Um modelo para a gestão do conhecimento organizacional no contexto dos serviços partilhados com recurso à utilização do e-Learning

Tese de Doutoramento em Tecnologias e Sistemas de Informação

Learning joint representations for order and timing of perceptual-motor sequences: a dynamic neural field approach

Many of our everyday tasks require the control of the serial order and the timing of component actions. Using the dynamic neural field (DNF) framework, we address the learning of representations that support the performance of precisely time action sequences. In continuation of previous modeling work and robotics implementations, we ask specifically the question how feedback about executed actions might be used by the learning system to fine tune a joint memory representation of the ordinal and the temporal structure which has been initially acquired by observation. The perceptual memory is represented by a self-stabilized, multi-bump activity pattern of neurons encoding instances of a sensory event (e.g., color, position or pitch) which guides sequence learning. The strength of the population representation of each event is a function of elapsed time since sequence onset. We propose and test in simulations a simple learning rule that detects a mismatch between the expected and realized timing of events and adapts the activation strengths in order to compensate for the movement time needed to achieve the desired effect. The simulation results show that the effector-specific memory representation can be robustly recalled. We discuss the impact of the fast, activation-based learning that the DNF framework provides for robotics applications.

Off-line simulation inspires insight: a neurodynamics approach to efficient robot task learning

There is currently an increasing demand for robots able to acquire the sequential organization of tasks from social learning interactions with ordinary people. Interactive learning-by-demonstration and communication is a promising research topic in current robotics research. However, the efficient acquisition of generalized task representations that allow the robot to adapt to different users and contexts is a major challenge. In this paper, we present a dynamic neural field (DNF) model that is inspired by the hypothesis that the nervous system uses the off-line re-activation of initial memory traces to incrementally incorporate new information into structured knowledge. To achieve this, the model combines fast activation-based learning to robustly represent sequential information from single task demonstrations with slower, weight-based learning during internal simulations to establish longer-term associations between neural populations representing individual subtasks. The efficiency of the learning process is tested in an assembly paradigm in which the humanoid robot ARoS learns to construct a toy vehicle from its parts. User demonstrations with different serial orders together with the correction of initial prediction errors allow the robot to acquire generalized task knowledge about possible serial orders and the longer term dependencies between subgoals in very few social learning interactions. This success is shown in a joint action scenario in which ARoS uses the newly acquired assembly plan to construct the toy together with a human partner.

“Learning-by-producing” in the fashion value chain

Proceedings da AUTEX 2015, Bucareste, Roménia.

Desenvolvimento de rede neuronal artificial para o diagnóstico de doenças neurodegenerativas

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores

La formación b-learning en el máster de español segunda lengua y lengua extranjera de la Universidade do Minho: innovación pedagógica y desafíos educativos

En el actual marco de creciente innovación pedagógica, debido entre otros factores, a la irrupción de nuevas herramientas informáticas, la enseñanza a distancia (e-learning y/o b-learning) va ocupando cada vez más espacio en la oferta educativa de diversas instituciones. En esta dirección, en la Universidade do Minho, y concretamente en el Área de Estudos Espanhóis e Hispano-Americanos,[1] hemos dedicado considerables esfuerzos a la ampliación de nuestra oferta desde 2010: primero en la elaboración e implementación del Curso de Formación Especializada en Español Lengua Extranjera, modalidad b-learning (3 ediciones; 2010-2013), y, actualmente, con el Máster Universitario en Español Lengua Segunda / Lengua Extranjera (vid. www.melsle.ilch.uminho.pt), también b-learning. En las siguientes páginas, nos proponemos compartir una serie de experiencias y reflexiones que han ido surgiendo durante estos años acerca de la formación universitária de profesores de Español Lengua Extranjera, en general, con recurso a la modalidade b-learning; para ello, nos centraremos en los siguientes aspectos: (i) caracterización general y problematización de la enseñanza a distancia en la Universidade do Minho; (ii) descripción del Máster Universitario en Español Lengua Segunda / Lengua Extranjera, acerca del cual detallaremos algunas prácticas adoptadas, relacionadas com la enseñanza e-learning como, por ejemplo, (iii) la coordinación pedagógica o (iv) los enfoques metodológicos adoptados a partir de la experiencia de una Unidad Curricular concreta.

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

Prevalence of mental disorders among sexual offenders and non-sexual offenders

OBJECTIVE: To evaluate the prevalence of mental disorders in convicted sex offenders admitted to the Psychiatric Custody and Treatment Hospital (Forensic Psychiatric Facility). METHOD: 89 patient records of males admitted from March 2005 to August 2006 were analyzed. The analysis included evaluation of two study groups: Group I comprised subjects who had committed sex offenses (sexual offenders) while Group II contained subjects convicted for other crimes (non-sexual offenders). Variables studied were: age bracket, years of schooling, marital status, skin color, place of birth, previous psychiatric admissions and psychiatric diagnosis. RESULTS: Mental retardation and personality disorders were the mainly diagnoses in Group I (sexual offenders) (61,76% and 29,41% respectively). In the other hand, schizophrenic subjects predominated in Group II (non-sexual offenders) (82,93%). CONCLUSION: Different from international data, we have found low prevalence of personality disorders among Brazilian forensic population and we believe that it's due to a distinguishing characteristic of the Brazilian legal system, which does not consider personality disorder a mental disease, thus, not prompting these patients to civil commitment.

Anorexia nervosa e retardo mental

OBJETIVO: Revisar a literatura pertinente, observando a prevalência, etiopatogenia, aspectos nutricionais, diagnóstico e tratamento da anorexia nervosa (AN) em pacientes com retardo mental (RM). MÉTODO: Revisão bibliográfica realizada nos sistemas Medline, SciELO e PubMed usando os descritores "transtornos alimentares", "anorexia nervosa" e "retardo mental". RESULTADOS: A AN pode se manifestar de formas atípicas em indivíduos com RM, exigindo critérios diagnósticos específicos. O mais utilizado atualmente é o Diagnostic Criteria for Psychiatric Disorders for Use with Adults with Learning Disabilities/Mental Retardation, conhecido por DC-LC. A prevalência é incerta e o tratamento ainda não está estabelecido, apesar de exigir treinamento específico da equipe. A alimentação costuma ser "pobre" e alimentos que engordam normalmente são evitados. Na maioria das vezes, é difícil acessar a complexa psicopatologia da AN nesses pacientes, em virtude das dificuldades de obter o relato de insatisfação e/ou distorção da imagem corporal, baixa autoestima e crenças alimentares. CONCLUSÃO: Muitos fatores indicam a necessidade de maiores estudos de AN no RM, entre eles a falta de critérios diagnósticos próprios validados e diretrizes para tratamento. Paralelamente, o debate da forma de acesso à conceitualização e ao tratamento dos distúrbios da imagem corporal nessa população deve ser intensificado.

Hand gesture recognition system based in computer vision and machine learning: Applications on human-machine interaction

Tese de Doutoramento em Engenharia de Eletrónica e de Computadores

Quality of life assessment of patients with schizophrenic spectrum disorders from Psychosocial Care Centers

OBJECTIVE: Assessing the quality of life and the clinical and social-demographic factors associated in schizophrenic spectrum patients (ICD-10 F20-F29) attending CAPS at the programmatic area 3.0. METHODS: A cross-sectional study was carried out in a sample of schizophrenic spectrum patients who have been enrolled in 2008 in CAPS in programmatic area (AP) 3 at Rio de Janeiro city, using MINIPLUS to assess schizophrenia spectrum disorder and use of psychoactive substances, Positive and Negative Symptoms Scale (PANSS) to assess psychiatric symptoms and Quality of Life Scale (QLS-BR) to assess the quality of life. RESULTS: Seventy nine patients were included, of whom 74 (93.7%) presented some impairment in quality of life. The most frequently affected area was occupational performance. Variables that showed a significant association with severe impairment of quality of life were: marital status, race, occupation, who patients lived with, homelessness, having children, previous psychiatric hospitalization, negative symptoms and symptoms designated as not applicable (being characterized by a lack of typical positive and negative symptoms). CONCLUSION: The knowledge of these factors should be crucial to implement health policies and psychosocial rehabilitation programs focused on improving the quality of life of these patients.

Comorbidities of mental and behavioral disorders in chemically dependent patients in different periods of abstinence

OBJECTIVE: To assess the frequency of comorbidities of mental and behavioral disorders (CMBD) in psychoactive substance (PAS)-dependent patients with different periods of abstinence cared for at Alcohol and Other Drug Psychosocial Care Centers (CAPS-ad). METHOD: All patients under treatment in the two CAPS-ad of the city of Uberlândia-MG, between April and September 2010, were consecutively assessed. The ICD-10 symptom checklist was used to diagnose CMBD; additional information was obtained from interviews and medical records. The patients were divided according to duration of abstinence: < 1 week (Group 1); 1-4 weeks (Group 2); and > 4 weeks (Group 3). RESULTS: Of all patients assessed, 62.8% were diagnosed with CMBD, which were more frequent (p < 0.05) in Group 1 (72%) than Group 3 (54.2%), and both groups were similar to Group 2 (61%). Depressive and anxiety disorders were more frequent among patients of Group 1. Mood disorders were more frequent (p < 0.05) in women [22/34 (65%) vs. 54/154 (35.1%)], whereas psychotic disorders were more frequent (p = 0.05) in men [16/154 (10.4%) vs. 0]. The presence of CMBD was associated with more severe clinical conditions. CONCLUSIONS: The higher frequency of diagnosis of CMBD in patients of Group 1 may have resulted from the difficulties in distinguishing mental disorders that are due to PAS intoxication or withdrawal from those that are not. However, to make the diagnosis of CMBD, even during detoxification, can increase the likelihood of better response to treatment.

“Learning through Radio, Learning for Life!”: Notas sobre o desenvolvimento de uma rádio participativa online

(Excerto) Olhando para o percurso do RadioActive, há uma ideia que parece ser transversal a todo o projeto. Referimo-nos a um princípio que chamaríamos de “identificação” e que foi determinante – é determinante – nos processos de investigação participativa. Falamos da identificação dos investigadores com os princípios da investigação-ação, da identificação das intervenções com as particularidades de cada contexto. Da imprescindível e progressiva identificação dos participantes com o projeto. Na verdade, sem esta multifacetada identificação é impossível pensar em resultados sustentáveis e persistentes. Investigadores e demais participantes têm de sentir que o projeto é “seu”, que os objetivos são “seus”, embora o façam necessariamente a velocidades diferentes. A aprendizagem, neste âmbito, expande-se sempre de dentro para fora, emerge dos interesses do sujeito e não de uma estrutura pré-concebida e imposta pelos que chegam (Ravenscroft et al., 2011), neste caso, os investigadores. Uma das diferenças das pesquisas participativas em relação às tradicionais é, precisamente, a atuação coletiva e não solitária do investigador. Os pesquisadores fazem parte de um processo participatório em que estão envolvidos numa estrutura (Cammarota & Fine, 2008: 5). Paulo Freire é o autor primordial em todos os projetos e países onde a RA101 foi aplicada. As suas concepções em torno da investigação-ação participativa tentam apontar sempre para uma ação e também para uma reflexão sobre os processos.