Analysis and Implementation of Robust Grasping Behaviors

This thesis addresses the problem of developing automatic grasping capabilities for robotic hands. Using a 2-jointed and a 4-jointed nmodel of the hand, we establish the geometric conditions necessary for achieving form closure grasps of cylindrical objects. We then define and show how to construct the grasping pre-image for quasi-static (friction dominated) and zero-G (inertia dominated) motions for sensorless and sensor-driven grasps with and without arm motions. While the approach does not rely on detailed modeling, it is computationally inexpensive, reliable, and easy to implement. Example behaviors were successfully implemented on the Salisbury hand and on a planar 2-fingered, 4 degree-of-freedom hand.

Parallel Methods for Synthesizing Whole-Hand Grasps from Generalized Prototypes

This report addresses the problem of acquiring objects using articulated robotic hands. Standard grasps are used to make the problem tractable, and a technique is developed for generalizing these standard grasps to increase their flexibility to variations in the problem geometry. A generalized grasp description is applied to a new problem situation using a parallel search through hand configuration space, and the result of this operation is a global overview of the space of good solutions. The techniques presented in this report have been implemented, and the results are verified using the Salisbury three-finger robotic hand.

Modeling, Estimation, and Control of Robot-Soil Interactions

This thesis presents the development of hardware, theory, and experimental methods to enable a robotic manipulator arm to interact with soils and estimate soil properties from interaction forces. Unlike the majority of robotic systems interacting with soil, our objective is parameter estimation, not excavation. To this end, we design our manipulator with a flat plate for easy modeling of interactions. By using a flat plate, we take advantage of the wealth of research on the similar problem of earth pressure on retaining walls. There are a number of existing earth pressure models. These models typically provide estimates of force which are in uncertain relation to the true force. A recent technique, known as numerical limit analysis, provides upper and lower bounds on the true force. Predictions from the numerical limit analysis technique are shown to be in good agreement with other accepted models. Experimental methods for plate insertion, soil-tool interface friction estimation, and control of applied forces on the soil are presented. In addition, a novel graphical technique for inverting the soil models is developed, which is an improvement over standard nonlinear optimization. This graphical technique utilizes the uncertainties associated with each set of force measurements to obtain all possible parameters which could have produced the measured forces. The system is tested on three cohesionless soils, two in a loose state and one in a loose and dense state. The results are compared with friction angles obtained from direct shear tests. The results highlight a number of key points. Common assumptions are made in soil modeling. Most notably, the Mohr-Coulomb failure law and perfectly plastic behavior. In the direct shear tests, a marked dependence of friction angle on the normal stress at low stresses is found. This has ramifications for any study of friction done at low stresses. In addition, gradual failures are often observed for vertical tools and tools inclined away from the direction of motion. After accounting for the change in friction angle at low stresses, the results show good agreement with the direct shear values.

From First Contact to Close Encounters: A Developmentally Deep Perceptual System for a Humanoid Robot

This thesis presents a perceptual system for a humanoid robot that integrates abilities such as object localization and recognition with the deeper developmental machinery required to forge those competences out of raw physical experiences. It shows that a robotic platform can build up and maintain a system for object localization, segmentation, and recognition, starting from very little. What the robot starts with is a direct solution to achieving figure/ground separation: it simply 'pokes around' in a region of visual ambiguity and watches what happens. If the arm passes through an area, that area is recognized as free space. If the arm collides with an object, causing it to move, the robot can use that motion to segment the object from the background. Once the robot can acquire reliable segmented views of objects, it learns from them, and from then on recognizes and segments those objects without further contact. Both low-level and high-level visual features can also be learned in this way, and examples are presented for both: orientation detection and affordance recognition, respectively. The motivation for this work is simple. Training on large corpora of annotated real-world data has proven crucial for creating robust solutions to perceptual problems such as speech recognition and face detection. But the powerful tools used during training of such systems are typically stripped away at deployment. Ideally they should remain, particularly for unstable tasks such as object detection, where the set of objects needed in a task tomorrow might be different from the set of objects needed today. The key limiting factor is access to training data, but as this thesis shows, that need not be a problem on a robotic platform that can actively probe its environment, and carry out experiments to resolve ambiguity. This work is an instance of a general approach to learning a new perceptual judgment: find special situations in which the perceptual judgment is easy and study these situations to find correlated features that can be observed more generally.

Safe Distributed Coordination of Heterogeneous Robots through Dynamic Simple Temporal Networks

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.

Bit-Width Analysis for General Applications

It has been widely known that a significant part of the bits are useless or even unused during the program execution. Bit-width analysis targets at finding the minimum bits needed for each variable in the program, which ensures the execution correctness and resources saving. In this paper, we proposed a static analysis method for bit-widths in general applications, which approximates conservatively at compile time and is independent of runtime conditions. While most related work focus on integer applications, our method is also tailored and applicable to floating point variables, which could be extended to transform floating point number into fixed point numbers together with precision analysis. We used more precise representations for data value ranges of both scalar and array variables. Element level analysis is carried out for arrays. We also suggested an alternative for the standard fixed-point iterations in bi-directional range analysis. These techniques are implemented on the Trimaran compiler structure and tested on a set of benchmarks to show the results.

Semi-online neural-Q_leaming for real-time robot learning

Reinforcement learning (RL) is a very suitable technique for robot learning, as it can learn in unknown environments and in real-time computation. The main difficulties in adapting classic RL algorithms to robotic systems are the generalization problem and the correct observation of the Markovian state. This paper attempts to solve the generalization problem by proposing the semi-online neural-Q_learning algorithm (SONQL). The algorithm uses the classic Q_learning technique with two modifications. First, a neural network (NN) approximates the Q_function allowing the use of continuous states and actions. Second, a database of the most representative learning samples accelerates and stabilizes the convergence. The term semi-online is referred to the fact that the algorithm uses the current but also past learning samples. However, the algorithm is able to learn in real-time while the robot is interacting with the environment. The paper shows simulated results with the "mountain-car" benchmark and, also, real results with an underwater robot in a target following behavior

PRIM an Open Mobile Robot Platform. Motivation, Present and Future Trends

This paper is focused on the robot mobile platform PRIM (platform robot information multimedia). This robot has been made in order to cover two main needs of our group, on one hand the need for a full open mobile robotic platform that is very useful in fulfilling the teaching and research activity of our school community, and on the other hand with the idea of introducing an ethical product which would be useful as mobile multimedia information point as a service tool. This paper introduces exactly how the system is made up and explains just what the philosophy is behind this work. The navigation strategies and sensor fusion, where machine vision system is the most important one, are oriented towards goal achievement and are the key to the behaviour of the robot

Plane-to-plane positioning from image-based visual servoing and structured light

In this paper we face the problem of positioning a camera attached to the end-effector of a robotic manipulator so that it gets parallel to a planar object. Such problem has been treated for a long time in visual servoing. Our approach is based on linking to the camera several laser pointers so that its configuration is aimed to produce a suitable set of visual features. The aim of using structured light is not only for easing the image processing and to allow low-textured objects to be treated, but also for producing a control scheme with nice properties like decoupling, stability, well conditioning and good camera trajectory

Studies about the atomic capabilities concept for linear control systems in physical multi-agent environments

This paper shows the impact of the atomic capabilities concept to include control-oriented knowledge of linear control systems in the decisions making structure of physical agents. These agents operate in a real environment managing physical objects (e.g. their physical bodies) in coordinated tasks. This approach is presented using an introspective reasoning approach and control theory based on the specific tasks of passing a ball and executing the offside manoeuvre between physical agents in the robotic soccer testbed. Experimental results and conclusions are presented, emphasising the advantages of our approach that improve the multi-agent performance in cooperative systems

Immersió guiada en el maquinari dels ordinadors. 'Inmersión guiada en el hardware de los ordenadores'.

Resumen tomado de la publicación. Se adjuntan actividades de consolidación de los contenidos del curso. Incluye imágenes

Evaluación de la vía aérea superior en pacientes con sahos mediante cefalometría 3D y multiplanar

Objetivo: determinar parámetros biométricos para evaluación y diagnóstico de pacientes con SAHOS por medio de Cefalometría Tridimensional y reconstrucción Multiplanar escanográfica. Materiales y Métodos: se realizó estudio observacional tipo cross-sectional, con 25 pacientes diagnosticados con SAHOS, a los cuales se les hizo TAC simple de cara con reconstrucción multiplanar y tridimensional, evaluando volumen de vía aérea, longitud, promedio del área en corte transversal, área retropalatal, área reglosal, espacio retrogloso lateral y anteroposterior. Resultados: se incluyeron 25 pacientes y realizaron medidas de volumen, longitud, promedio del área en corte transversal, área retropalatal, área retroglosal y espacios regloso lateral y anteroposterior, realizando análisis estadístico mediante el programa SPSS 17.0 reportando medidas de tendencia central como promedio, media, moda, rango, desviación estándar, y concordancia inter e intra observador. Conclusión: la Cefalometría tridimensional con reconstrucción multiplanar ha mostrado ser un excelente método de evaluación de vía aérea en pacientes con SAHOS, obteniendo propias clasificaciones dentro del estudio de estos pacientes. Sin embargo, ante la escasa literatura y difícil obtención de parámetros de referencia es necesario promover el estudio y la investigación de este método diagnostico en pacientes con SAHOS.

Reflections about physiotherapist professional performance in the field of physical activity

The physiotherapist professional activities, in the beginning were focused only in the clinical field, nowadays it has many different action fields including Physical Activity. Physical activity can be viewed from two dimensions: one biological, which is defined as any activity which requires energy expenditure involving the combined action of multiple systems; on the other side social, understood as a human activity concerning subjectivity conditions influenced by the environment where the individual and the community are developed. Given these dimensions as well as national and international benchmarks this paper’s objective is to present a series of reflections that the authors have done regarding the physiotherapist professional performance in the field of physical activity and the large possibilities derived from their practice in this field.

Evaluación del modelo de atención fisioterapéutica domiciliaria en una IPS. Bogotá. Colombia

El estudio “Evaluación del Modelo actual de Gestión en la Atención Fisioterapéutica Domiciliaria una IPS en la ciudad de Bogotá”, tiene como fin evaluar el modelo tradicional de Atención Primaria Domiciliaria y la labor de la fisioterapeuta en esta clase de servicios profesionales, y así constatar la calidad y eficiencia de la APD. En la primera parte, se plantean los objetivos, marcos de referencia, que lo complementan, metodología utilizada en un marco muestral, tabulación por un instrumento de recolección de datos Ramsés Likert, análisis de resultados y por último conclusiones y recomendaciones derivadas del Estudio.

Comparación de parámetros de atención en una escala de triage de 5 niveles con los parámetros estándar

Introducción: La escala de severidad en emergencias es una herramienta que ofrece seguridad a pacientes en servicios de urgencias. Este trabajo evalúa la aplicación de la escala ESI 4.0 en términos de oportunidad de atención y consumo de recursos en la Fundación Santa Fé de Bogotá, para comparar los resultados con parámetros estándar. Metodología Estudio observacional analítico de corte transversal. Se incluyeron 385 pacientes aleatorizados por nivel de atención. Se tomaron datos demográficos y variables como consumo de recursos y destino del paciente para su descripción y análisis. Resultados: El promedio de edad fue 44.9 años IC95%42.9–46.9, el 54.5% fueron mujeres. Se encontró un tiempo promedio de espera para nivel 1 de 1.39 min, para el nivel 2 de 22.9 min 2, para el nivel 3 de 41.9 min, para el nivel 4 de 56.9 min y para el nivel 5 de 52.1 min. El tiempo promedio de estancia en urgencias fue 5.9 horas y el 78.9% consumió recursos. Al comparar los tiempos con estándares mundiales en el nivel 1, 2 y 3 son significativamente mayores (P<0,05), en el nivel 4 es similar (p0,51) y en el nivel 5 es significativamente menor (p=0,00) Discusión: La escala ESI 4.0 es una herramienta segura, con un comportamiento similar en oportunidad de atención y consumo de recursos con respecto a los estándares de cuidado en los servicios de urgencias.