ICTINEUAUV wins the First SAUC-E competition

A pioneer team of students of the University of Girona decided to design and develop an autonomous underwater vehicle (AUV) called ICTINEU-AUV to face the Student Autonomous Underwater Challenge-Europe (SAUC-E). The prototype has evolved from the initial computer aided design (CAD) model to become an operative AUV in the short period of seven months. The open frame and modular design principles together with the compatibility with other robots previously developed at the lab have provided the main design philosophy. Hence, at the robot's core, two networked computers give access to a wide set of sensors and actuators. The Gentoo/Linux distribution was chosen as the onboard operating system. A software architecture based on a set of distributed objects with soft real time capabilities was developed and a hybrid control architecture including mission control, a behavioural layer and a robust map-based localization algorithm made ICTINEU-AUV the winning entry

Graphical simulators for AUV development

A long development time is needed from the design to the implementation of an AUV. During the first steps, simulation plays an important role, since it allows for the development of preliminary versions of the control system to be integrated. Once the robot is ready, the control systems are implemented, tuned and tested. The use of a real-time simulator can help closing the gap between off-line simulation and real testing using the already implemented robot. When properly interfaced with the robot hardware, a real-time graphical simulation with a "hardware in the loop" configuration, can allow for the testing of the implemented control system running in the actual robot hardware. Hence, the development time is drastically reduced. These paper overviews the field of graphical simulators used for AUV development proposing a classification. It also presents NEPTUNE, a multi-vehicle, real-time, graphical simulator based on OpenGL that allows hardware in the loop simulations

An overview of the advantages and constraints of coded pattern projection techniques for autonomous navigation

The absolute necessity of obtaining 3D information of structured and unknown environments in autonomous navigation reduce considerably the set of sensors that can be used. The necessity to know, at each time, the position of the mobile robot with respect to the scene is indispensable. Furthermore, this information must be obtained in the least computing time. Stereo vision is an attractive and widely used method, but, it is rather limited to make fast 3D surface maps, due to the correspondence problem. The spatial and temporal correspondence among images can be alleviated using a method based on structured light. This relationship can be directly found codifying the projected light; then each imaged region of the projected pattern carries the needed information to solve the correspondence problem. We present the most significant techniques, used in recent years, concerning the coded structured light method

Millora experimental de les lleis de control predictiu aplicades sobre la plataforma PRIM I, per el seguiment de trajectòries

Aquest projecte s’aplica sobre el robot PRIM (Plataforma Robotitzada d’Informació Multimèdia), un robot autònom no humanoide creat el 2004 per Ateneu Informàtic (AI) que permet realitzar trajectòries 2D gràcies a un sistema de tracció format per dues rodes motrius propulsades independentment. La plataforma PRIM és controlada a partir del control predictiu, aquest control es va implementar en un projecte anterior, creat per l’Alexandre Blasco Gutierrez i titulat “Implementació de tècniques MPC (Model Predictiu Control) sobre la plataforma PRIM I”. El que es pretén en aquest projecte és millorar els resultats obtinguts en el passat projecte reformulant la llei de control i analitzar les discrepàncies obtingudes en les metodologies que s’utilitzen per minimitzar la funció de costos a partir de simulacions de trajectòries

Disseny d’un comportament en ROS per a mantenir la posició d’un vehicle autònom submarí a partir de referències visuals

En el Centre d'Investigació en Robòtica Submarina (CIRS) de la Universitat de Gironaes disposa de diferents robots submarins els quals utilitzen una arquitectura software anomenada Component Oriented Layered-based Architecture for Autonomy ( COLA2 ), la qual ha estat desenvolupada per estudiants i professors del mateix centre. Per tal de fer aquesta arquitectura més accessible per a professors i estudiant d’altres centres la COLA2 s’està adaptant al Robot Operative System (ROS) que és un framework genèricper al desenvolupament d’aplicacions amb robots. Aquest projecte pretén dissenyar un comportament per al robot Girona500 que estigui desenvolupat dins la versió ROS de l’arquitectura COLA2. El comportament haurà de fer mantenir una determinada posició al robot amb informació visual de la càmera del robot i amb dades de navegació. La tasca de mantenir la posició es de vital importància per a poder realitzar intervencions submarines que requereixen de precisió i, precisament, el medi on es treballa no ajuda

Inteligencia artificial en vehiculo

Desarrollo de un robot seguidor de líneas, en el que se implementan diversas soluciones de las áreas de sistemas embebidos e inteligencia artificial.

Dynamic modelling of an underwater vehicle

Nessie is an Autonomous Underwater Vehicle (AUV) created by a team of students in the Heriot Watt University to compete in the Student Autonomous Underwater Competition, Europe (SAUC-E) in August 2006. The main objective of the project is to find the dynamic equation of the robot, dynamic model. With it, the behaviour of the robot will be easier to understand and movement tests will be available by computer without the need of the robot, what is a way to save time, batteries, money and the robot from water inside itself. The object of the second part in this project is setting a control system for Nessie by using the model

Manipulator control board

The Mechatronics Research Centre (MRC) owns a small scale robot manipulator called aMini-Mover 5. This robot arm is a microprocessor-controlled, six-jointed mechanical armdesigned to provide an unusual combination of dexterity and low cost.The Mini-Mover-5 is operated by a number of stepper motors and is controlled by a PCparallel port via a discrete logic board. The manipulator also has an impoverished array ofsensors.This project requires that a new control board and suitable software be designed to allow themanipulator to be controlled from a PC. The control board will also provide a mechanism forthe values measured using some sensors to be returned to the PC.On this project I will consider: stepper motor control requirements, sensor technologies,power requirements, USB protocols, USB hardware and software development and controlrequirements (e.g. sample rates).In this report we will have a look at robots history and background, as well as we willconcentrate how stepper motors and parallel port work

Disseny i implementació d'un conjunt de perifèrics de comunicació per a la seva incorporació en nous dissenys hardware del grup de robòtica i visió per computador

El grupo de robòtica i Visió fabricó la tarjeta gráfica MAGCL para el tratamiento de imágenes en tiempo real, en la que se incluyó un conector IDC20 proveniente de parte del bus de datos, de la FPGA que contiene, destinado a futuras aplicaciones. Con este proyecto se quiere aprovechar este conector para la comunicación de la placa con un PC, y se desarrollarán los puertos de comunicación serie RS232 y USB, Universal Serial Bus.El objetivo de este proyecto es establecer la comunicación de la tarjeta gráfica con un PC a través de estos dos tipos de puerto. Una vez conseguida la comunicación, quedan una serie de librerías hardware que pueden ayudar en la realización de futuros proyectos. La placa posee una FPGA (field programable gate array) destinada al desarrollo, pero programando esas librerías sobre otros componentes, se pueden utilizar estos puertos de forma permanente o exclusiva

Using robots to understand social behaviour.

A major challenge in studying social behaviour stems from the need to disentangle the behaviour of each individual from the resulting collective. One way to overcome this problem is to construct a model of the behaviour of an individual, and observe whether combining many such individuals leads to the predicted outcome. This can be achieved by using robots. In this review we discuss the strengths and weaknesses of such an approach for studies of social behaviour. We find that robots-whether studied in groups of simulated or physical robots, or used to infiltrate and manipulate groups of living organisms-have important advantages over conventional individual-based models and have contributed greatly to the study of social behaviour. In particular, robots have increased our understanding of self-organization and the evolution of cooperative behaviour and communication. However, the resulting findings have not had the desired impact on the biological community. We suggest reasons for why this may be the case, and how the benefits of using robots can be maximized in future research on social behaviour.

Dimensionamento de Pilares Mistos Aço- Betão Segundo a en1994-1-1 Através de uma Aplicação Informática

O presente trabalho debruça-se sobre as estruturas mistas aço-betão, com foco nos pilares mistos e no seu dimensionamento segundo a norma europeia EN1994-1-1 (EC4) [1]. Um pilar misto aço-betão pode definir-se como um elemento de aço, laminado ou composto, que trabalha em conjunto com o betão, podendo as secções serem classificados como revestidas ou preenchidas. Com a crescente evolução das técnicas construtivas, as estruturas mistas aço-betão aparecem como soluções viáveis e seguras, tornando-se numa opção competitiva em relação às soluções tradicionais de betão armado e de aço estrutural. Isto, devido à grande capacidade de carga proporcionada por secções mais reduzidas, à boa relação de rigidez e bom comportamento perante os fenómenos de encurvadura. Com o surgimento da recente norma europeia EC4, não obstante a complexidade das metodologias de verificação da segurança propostas, há uma maior confiança na utilização deste tipo de estrutura por parte dos projetistas. É neste contexto que surge a necessidade de desenvolver ferramentas de cálculo expedito que possam ser utilizadas em gabinete de projeto, salvaguardando todos os aspetos regulamentares de verificação da segurança preconizados no EC4, de que é exemplo o dimensionamento de pilares mistos abordados no presente trabalho. De forma a validar a ferramenta desenvolvida é proposto um caso de estudo, com o objetivo de obter soluções de pilares mistos com dimensões otimizadas, fazendo as verificações previstas no EC4. Os resultados obtidos na ferramenta são comparados com os resultados obtidos através de cálculos analíticos.

Self-paced Movement Intention Detection from Human Brain Signals: Invasive and Non-invasive EEG

Neural signatures of humans' movement intention can be exploited by future neuroprosthesis. We propose a method for detecting self-paced upper limb movement intention from brain signals acquired with both invasive and noninvasive methods. In the first study with scalp electroencephalograph (EEG) signals from healthy controls, we report single trial detection of movement intention using movement related potentials (MRPs) in a frequency range between 0.1 to 1 Hz. Movement intention can be detected above chance level (p<0.05) on average 460 ms before the movement onset with low detection rate during the on-movement intention period. Using intracranial EEG (iEEG) from one epileptic subject, we detect movement intention as early as 1500 ms before movement onset with accuracy above 90% using electrodes implanted in the bilateral supplementary motor area (SMA). The coherent results obtained with non-invasive and invasive method and its generalization capabilities across different days of recording, strengthened the theory that self-paced movement intention can be detected before movement initiation for the advancement in robot-assisted neurorehabilitation.

Learning and adaptation in physical heterogeneous teams of robots

In this paper we present a novel approach to assigning roles to robots in a team of physical heterogeneous robots. Its members compete for these roles and get rewards for them. The rewards are used to determine each agent’s preferences and which agents are better adapted to the environment. These aspects are included in the decision making process. Agent interactions are modelled using the concept of an ecosystem in which each robot is a species, resulting in emergent behaviour of the whole set of agents. One of the most important features of this approach is its high adaptability. Unlike some other learning techniques, this approach does not need to start a whole exploitation process when the environment changes. All this is exemplified by means of experiments run on a simulator. In addition, the algorithm developed was applied as applied to several teams of robots in order to analyse the impact of heterogeneity in these systems

MSISpIC: A Probabilistic Scan Matching Algorithm Using a Mechanical Scanned Imaging Sonar

This paper compares two well known scan matching algorithms: the MbICP and the pIC. As a result of the study, it is proposed the MSISpIC, a probabilistic scan matching algorithm for the localization of an Autonomous Underwater Vehicle (AUV). The technique uses range scans gathered with a Mechanical Scanning Imaging Sonar (MSIS), and the robot displacement estimated through dead-reckoning with the help of a Doppler Velocity Log (DVL) and a Motion Reference Unit (MRU). The proposed method is an extension of the pIC algorithm. Its major contribution consists in: 1) using an EKF to estimate the local path traveled by the robot while grabbing the scan as well as its uncertainty and 2) proposing a method to group into a unique scan, with a convenient uncertainty model, all the data grabbed along the path described by the robot. The algorithm has been tested on an AUV guided along a 600m path within a marina environment with satisfactory results

Vehicle de guiat automàtic (AGV)

Aquest projecte documenta la simulació d'un AGV (vehicle de guiat automàtic). Mitjançant un robot educatiu programat en Basic Stamp es simula un entorn d'anàlisi clínic a on el robot gestiona de forma automàtica les estacions d'anàlisi d'una hipotètica mostra de sang.