957 resultados para Robots autònoms -- Sistemes de control


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The control and coordination of multiple mobile robots is a challenging task; particularly in environments with multiple, rapidly moving obstacles and agents. This paper describes a robust approach to multi-robot control, where robustness is gained from competency at every layer of robot control. The layers are: (i) a central coordination system (MAPS), (ii) an action system (AES), (iii) a navigation module, and (iv) a low level dynamic motion control system. The multi-robot coordination system assigns each robot a role and a sub-goal. Each robot’s action execution system then assumes the assigned role and attempts to achieve the specified sub-goal. The robot’s navigation system directs the robot to specific goal locations while ensuring that the robot avoids any obstacles. The motion system maps the heading and speed information from the navigation system to force-constrained motion. This multi-robot system has been extensively tested and applied in the robot soccer domain using both centralized and distributed coordination.

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The GuRm is a 1.2m tall, 23 degree of freedom humanoid consuucted at the University of Queensland for research into humanoid robotics. The key challenge being addressed by the GuRw projcct is the development of appropriate learning strategies for control and coodinadon of the robot’s many joints. The development of learning strategies is Seen as a way to sidestep the inherent intricacy of modeling a multi-DOP biped robot. This paper outlines the approach taken to generate an appmpria*e control scheme for the joinis of the GuRoo. The paper demonsrrates the determination of local feedback control parameters using a genetic algorithm. The feedback loop is then augmented by a predictive modulator that learns a form of feed-fonward control to overcome the irregular loads experienced at each joint during the gait cycle. The predictive modulator is based on thc CMAC architecture. Results from tats on the GuRoo platform show that both systems provide improvements in stability and tracking of joint control.

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The high capital cost of robots prohibit their economic application. One method of making their application more economic is to increase their operating speed. This can be done in a number of ways e.g. redesign of robot geometry, improving actuators and improving control system design. In this thesis the control system design is considered. It is identified in the literature review that two aspects in relation to robot control system design have not been addressed in any great detail by previous researchers. These are: how significant are the coupling terms in the dynamic equations of the robot and what is the effect of the coupling terms on the performance of a number of typical independent axis control schemes?. The work in this thesis addresses these two questions in detail. A program was designed to automatically calculate the path and trajectory and to calculate the significance of the coupling terms in an example application of a robot manipulator tracking a part on a moving conveyor. The inertial and velocity coupling terms have been shown to be of significance when the manipulator was considered to be directly driven. A simulation of the robot manipulator following the planned trajectory has been established in order to assess the performance of the independent axis control strategies. The inertial coupling was shown to reinforce the control torque at the corner points of the trajectory, where there was an abrupt demand in acceleration in each axis but of opposite sign. This reduced the tracking error however, this effect was not controllable. A second effect was due to the velocity coupling terms. At high trajectory speeds it was shown, by means of a root locus analysis, that the velocity coupling terms caused the system to become unstable.

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The paper is related with the problem of developing autonomous intelligent robots for complex environments. In details it outlines a knowledge-based robot control architecture that combines several techniques in order to supply an ability to adapt and act autonomously in complex environments. The described architecture has been implemented as a robotic system that demonstrates its operation in dynamic environment. Although the robotic system demonstrates a certain level of autonomy, the experiments show that there are situation, in which the developed base architecture should be complemented with additional modules. The last few chapters of the paper describe the experimentation results and the current state of further research towards the developed architecture.

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This paper presents a multiple robots formation manoeuvring and its collision avoidance strategy. The direction priority sequential selection algorithm is employed to achieve the raw path, and a new algorithm is then proposed to calculate the turning compliant waypoints supporting the multi-robot formation manoeuvre. The collision avoidance strategy based on the formation control is presented to translate the collision avoidance problem into the stability problem of the formation. The extension-decomposition-aggregation scheme is next applied to solve the formation control problem and subsequently achieve the collision avoidance during the formation manoeuvre. Simulation study finally shows that the collision avoidance problem can be conveniently solved if the stability of the constructed formation including unidentified objects can be satisfied.

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Se diseñó, construyó, simuló e implementó un dispositivo robot balancín para la aplicación y estudio de técnicas avanzadas de control. Para esto se realizó el diseño mecánico del dispositivo, de acuerdo a una elección entre dos modelos distintos y cuatro tipos diferentes de transmisión. Luego se instrumentó el dispositivo con encoders de posición , acelerómetro y giróscopo para obtener el estado del dispositivo y controlarlo. Se realizó una placa electrónica para la lectura y procesamiento de señales de sensores con un micro controlador, un regulador de tensión, y un driver para los motores, capaz de obtener las señales de los encoders y el módulo acelerómetro-giróscopo y enviarlas por comunicación hacia una mini-computadora, la cual ejecuta el control, y se comunica nuevamente a la placa diseñada para comandar los motores. Se desarrolló un modelo teórico simplificado en dos dimensiones para facilitar la posterior identificación de planta. Se realizaron experimentos para lograr una identificación de planta. A partir de lo obtenido, se diseñó y simuló el control necesario para mantener la estabilidad. Se implementó posteriormente el control diseñado. Se reajustaron los parámetros correspondientes de acuerdo a la práctica experimental para mejorar la respuesta dinámica del sistema.

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Thesis (Master's)--University of Washington, 2016-06

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Se diseñó, construyó, simuló e implementó un dispositivo robot balancín para la aplicación y estudio de técnicas avanzadas de control. Para esto se realizó el diseño mecánico del dispositivo, de acuerdo a una elección entre dos modelos distintos y cuatro tipos diferentes de transmisión. Luego se instrumentó el dispositivo con encoders de posición , acelerómetro y giróscopo para obtener el estado del dispositivo y controlarlo. Se realizó una placa electrónica para la lectura y procesamiento de señales de sensores con un micro controlador, un regulador de tensión, y un driver para los motores, capaz de obtener las señales de los encoders y el módulo acelerómetro-giróscopo y enviarlas por comunicación hacia una mini-computadora, la cual ejecuta el control, y se comunica nuevamente a la placa diseñada para comandar los motores. Se desarrolló un modelo teórico simplificado en dos dimensiones para facilitar la posterior identificación de planta. Se realizaron experimentos para lograr una identificación de planta. A partir de lo obtenido, se diseñó y simuló el control necesario para mantener la estabilidad. Se implementó posteriormente el control diseñado. Se reajustaron los parámetros correspondientes de acuerdo a la práctica experimental para mejorar la respuesta dinámica del sistema.

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Un robot es hoy día un elemento importante de la producción que se caracteriza principalmente por su flexibilidad. Esta flexibilidad lo convierte en una herramienta de propósito general, que puede adaptarse a aquello que debe producirse en cualquier momento simplemente mediante un cambio de programa. Esta característica los hace novedosos con respecto a las máquinas automáticas. En la Universidad del Valle, Departamento de Electricidad, se está realizando un proyecto en robótica industrial que tiene como fin construir un prototipo de un robot de soldadura, basados en el robot Miller MR-5 evaluado en Univalle y utilizado actualmente en la empresa Codinter Uda.

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The work presented herein focused on the automation of coordination-driven self assembly, exploring methods that allow syntheses to be followed more closely while forming new ligands, as part of the fundamental study of the digitization of chemical synthesis and discovery. Whilst the control and understanding of the principle of pre-organization and self-sorting under non-equilibrium conditions remains a key goal, a clear gap has been identified in the absence of approaches that can permit fast screening and real-time observation of the reaction process under different conditions. A firm emphasis was thus placed on the realization of an autonomous chemical robot, which can not only monitor and manipulate coordination chemistry in real-time, but can also allow the exploration of a large chemical parameter space defined by the ligand building blocks and the metal to coordinate. The self-assembly of imine ligands with copper and nickel cations has been studied in a multi-step approach using a self-built flow system capable of automatically controlling the liquid-handling and collecting data in real-time using a benchtop MS and NMR spectrometer. This study led to the identification of a transient Cu(I) species in situ which allows for the formation of dimeric and trimeric carbonato bridged Cu(II) assemblies. Furthermore, new Ni(II) complexes and more remarkably also a new binuclear Cu(I) complex, which usually requires long and laborious inert conditions, could be isolated. The study was then expanded to the autonomous optimization of the ligand synthesis by enabling feedback control on the chemical system via benchtop NMR. The synthesis of new polydentate ligands has emerged as a result of the study aiming to enhance the complexity of the chemical system to accelerate the discovery of new complexes. This type of ligand consists of 1-pyridinyl-4-imino-1,2,3-triazole units, which can coordinate with different metal salts. The studies to test for the CuAAC synthesis via microwave lead to the discovery of four new Cu complexes, one of them being a coordination polymer obtained from a solvent dependent crystallization technique. With the goal of easier integration into an automated system, copper tubing has been exploited as the chemical reactor for the synthesis of this ligand, as it efficiently enhances the rate of the triazole formation and consequently promotes the formation of the full ligand in high yields within two hours. Lastly, the digitization of coordination-driven self-assembly has been realized for the first time using an in-house autonomous chemical robot, herein named the ‘Finder’. The chemical parameter space to explore was defined by the selection of six variables, which consist of the ligand precursors necessary to form complex ligands (aldehydes, alkineamines and azides), of the metal salt solutions and of other reaction parameters – duration, temperature and reagent volumes. The platform was assembled using rounded bottom flasks, flow syringe pumps, copper tubing, as an active reactor, and in-line analytics – a pH meter probe, a UV-vis flow cell and a benchtop MS. The control over the system was then obtained with an algorithm capable of autonomously focusing the experiments on the most reactive region (by avoiding areas of low interest) of the chemical parameter space to explore. This study led to interesting observations, such as metal exchange phenomena, and also to the autonomous discovery of self assembled structures in solution and solid state – such as 1-pyridinyl-4-imino-1,2,3-triazole based Fe complexes and two helicates based on the same ligand coordination motif.

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Actualmente, en los procesos de fabricación industrial los robots manipuladores son componentes esenciales, esto se debe a las diversas tareas que son capa es de realizar, tales como: ensamble, soldadura, manipulación de objetos, dispensación, entre otras. Sin embargo, di has aplicaciones son para escenarios geométricos limitados y simplificados, además la programación es compleja, por lo que se consume mucho tiempo en la programación. Entonces, cuando el volumen de producción es bajo o está en continuo cambio, sigue siendo necesaria la intervención de humanos expertos para realizar estas tareas. De acuerdo a lo anterior, en esta tesis se propone una metodología basada en sensores de unidad de medición inercial, en inglés Inertial Measurement Units (IMU), y fusión de sensores para la adquisición de las trayectorias realizadas por un humano, estimación de orientación en dos dimensiones y estimación de posición en 3 dimensiones. Además, se involucra el modelado de robots manipuladores, generación de trayectorias, control cinemático empleado en la programación del robot, y por último una evaluación de desempeño del movimiento del robot basado en índices de desempeño. Los resultados experimentales obtenidos muestran que la metodología aplicada es capaz de estimar la trayectoria (en posición y orientación) a partir de los datos adquiridos de la trayectoria realizada por un humano sin el uso de Sistemas de Visión Computacional (SVC). El propósito principal de esta investigación es el desarrollo de una metodología, en la cual los datos coordenados de las trayectorias realizadas por humanos expertos puedan ser emuladas lo más preciso posible por robots manipuladores, sin consumir demasiado tiempo en la programación manual de posición y movimiento del robot en cada punto de la trayectoria deseada.

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Telepresence robots have emerged as a new means of interaction in remote environments. However, the use of such robots is still limited due to safety and usability issues when operating in human-like environments. This work addresses these issues by enhancing the robot navigation through a collaborative control method that assists the user to negotiate obstacles. The method has been implemented in a commercial telepresence robot and a user study has been conducted in order to test the suitability of our approach.