Flexible multibody dynamics and intelligent control of a hydraulically driven hybrid redundant robot machine

The assembly and maintenance of the International Thermonuclear Experimental Reactor (ITER) vacuum vessel (VV) is highly challenging since the tasks performed by the robot involve welding, material handling, and machine cutting from inside the VV. The VV is made of stainless steel, which has poor machinability and tends to work harden very rapidly, and all the machining operations need to be carried out from inside of the ITER VV. A general industrial robot cannot be used due to its poor stiffness in the heavy duty machining process, and this will cause many problems, such as poor surface quality, tool damage, low accuracy. Therefore, one of the most suitable options should be a light weight mobile robot which is able to move around inside of the VV and perform different machining tasks by replacing different cutting tools. Reducing the mass of the robot manipulators offers many advantages: reduced material costs, reduced power consumption, the possibility of using smaller actuators, and a higher payload-to-robot weight ratio. Offsetting these advantages, the lighter weight robot is more flexible, which makes it more difficult to control. To achieve good machining surface quality, the tracking of the end effector must be accurate, and an accurate model for a more flexible robot must be constructed. This thesis studies the dynamics and control of a 10 degree-of-freedom (DOF) redundant hybrid robot (4-DOF serial mechanism and 6-DOF 6-UPS hexapod parallel mechanisms) hydraulically driven with flexible rods under the influence of machining forces. Firstly, the flexibility of the bodies is described using the floating frame of reference method (FFRF). A finite element model (FEM) provided the Craig-Bampton (CB) modes needed for the FFRF. A dynamic model of the system of six closed loop mechanisms was assembled using the constrained Lagrange equations and the Lagrange multiplier method. Subsequently, the reaction forces between the parallel and serial parts were used to study the dynamics of the serial robot. A PID control based on position predictions was implemented independently to control the hydraulic cylinders of the robot. Secondly, in machining, to achieve greater end effector trajectory tracking accuracy for surface quality, a robust control of the actuators for the flexible link has to be deduced. This thesis investigates the intelligent control of a hydraulically driven parallel robot part based on the dynamic model and two schemes of intelligent control for a hydraulically driven parallel mechanism based on the dynamic model: (1) a fuzzy-PID self-tuning controller composed of the conventional PID control and with fuzzy logic, and (2) adaptive neuro-fuzzy inference system-PID (ANFIS-PID) self-tuning of the gains of the PID controller, which are implemented independently to control each hydraulic cylinder of the parallel mechanism based on rod length predictions. The serial component of the hybrid robot can be analyzed using the equilibrium of reaction forces at the universal joint connections of the hexa-element. To achieve precise positional control of the end effector for maximum precision machining, the hydraulic cylinder should be controlled to hold the hexa-element. Thirdly, a finite element approach of multibody systems using the Special Euclidean group SE(3) framework is presented for a parallel mechanism with flexible piston rods under the influence of machining forces. The flexibility of the bodies is described using the nonlinear interpolation method with an exponential map. The equations of motion take the form of a differential algebraic equation on a Lie group, which is solved using a Lie group time integration scheme. The method relies on the local description of motions, so that it provides a singularity-free formulation, and no parameterization of the nodal variables needs to be introduced. The flexible slider constraint is formulated using a Lie group and used for modeling a flexible rod sliding inside a cylinder. The dynamic model of the system of six closed loop mechanisms was assembled using Hamilton’s principle and the Lagrange multiplier method. A linearized hydraulic control system based on rod length predictions was implemented independently to control the hydraulic cylinders. Consequently, the results of the simulations demonstrating the behavior of the robot machine are presented for each case study. In conclusion, this thesis studies the dynamic analysis of a special hybrid (serialparallel) robot for the above-mentioned special task involving the ITER and investigates different control algorithms that can significantly improve machining performance. These analyses and results provide valuable insight into the design and control of the parallel robot with flexible rods.

Evidence for a reference frame transformation of vestibular contributions to voluntary reaching movements

Les estimations des mouvements de soi provenant des signaux vestibulaires contribuent à la planification et l’exécution des mouvements volontaires du bras lorsque le corps se déplace. Cependant, comme les senseurs vestibulaires sont fixés à la tête alors que le bras est fixé au corps, les signaux vestibulaires doivent être transformés d’un système de référence centré sur la tête à un système centré sur le corps pour pouvoir contribuer de façon appropriée au contrôle moteur du bras. Le but premier de ce travail était d’étudier l’évidence d’une telle transformation. La stimulation galvanique vestibulaire (SGV) a été utilisée pour activer les afférences vestibulaires et simuler une rotation autour d’un axe naso-occipital fixe pendant que des sujets humains faisaient des mouvements du bras dans le plan horizontal, avec la tête dans différentes orientations. Une transformation des signaux vestibulaires implique que la SVG devrait simuler une rotation autour d’un axe horizontal lorsque la tête est droite et autour d’un axe vertical lorsque la tête est en flexion antérieure. La SGV devrait ainsi perturber les mouvements du bras en fonction de l’orientation de la tête. Nos résultats démontrent que les signaux vestibulaires contribuant aux mouvements d’atteinte sont effectivement transformés en un système de référence centrée sur le corps. Le deuxième but de ce travail était d’explorer les mécanismes utilisant ces signaux vestibulaires transformés. En comparant les effets de la SGV appliquée avant ou pendant les mouvements d’atteinte nous avons montré que les signaux vestibulaires transformés contribuent à des mécanismes de compensation distincts durant la planification des mouvements d’atteinte comparativement à l’exécution.

Contributions des voies vestibulospinale et corticospinale au contrôle des mouvements du bras

Le contrôle des mouvements du bras fait intervenir plusieurs voies provenant du cerveau. Cette thèse, composée principalement de deux études, tente d’éclaircir les contributions des voies tirant leur origine du système vestibulaire et du cortex moteur. Dans la première étude (Raptis et al 2007), impliquant des mouvements d’atteinte, nous avons cerné l’importance des voies descendantes partant du système vestibulaire pour l’équivalence motrice, i.e. la capacité du système moteur à atteindre un but moteur donné lorsque le nombre de degrés de liberté articulaires varie. L’hypothèse émise était que le système vestibulaire joue un rôle essentiel dans l’équivalence motrice. Nous avons comparé la capacité d’équivalence motrice de sujets sains et de patients vestibulodéficients chroniques lors de mouvements nécessitant un contrôle des positions du bras et du tronc. Pendant que leur vision était temporairement bloquée, les sujets devaient soit maintenir une position de l’index pendant une flexion du tronc, soit atteindre une cible dans l’espace péri-personnel en combinant le mouvement du bras avec une flexion du tronc. Lors d’essais déterminés aléatoirement et imprévus par les participants, leur tronc était retenu par un mécanisme électromagnétique s’activant en même temps que le signal de départ. Les sujets sains ont pu préserver la position ou la trajectoire de l’index dans les deux conditions du tronc (libre, bloqué) en adaptant avec une courte latence (60-180 ms) les mouvements articulaires au niveau du coude et de l’épaule. En comparaison, six des sept patients vestibulodéficients chroniques ont présenté des déficits au plan des adaptations angulaires compensatoires. Pour ces patients, entre 30 % et 100 % du mouvement du tronc n’a pas été compensé et a été transmis à la position ou trajectoire de l’index. Ces résultats indiqueraient que les influences vestibulaires évoquées par le mouvement de la tête pendant la flexion du tronc jouent un rôle majeur pour garantir l’équivalence motrice dans ces tâches d’atteinte lorsque le nombre de degrés de liberté articulaires varie. Également, ils démontrent que la plasticité de long terme survenant spontanément après une lésion vestibulaire unilatérale complète ne serait pas suffisante pour permettre au SNC de retrouver un niveau d’équivalence motrice normal dans les actions combinant un déplacement du bras et du tronc. Ces tâches de coordination bras-tronc constituent ainsi une approche inédite et sensible pour l’évaluation clinique des déficits vestibulaires. Elles permettent de sonder une dimension fonctionnelle des influences vestibulaires qui n’était pas prise en compte dans les tests cliniques usuels, dont la sensibilité relativement limitée empêche souvent la détection d’insuffisances vestibulaires six mois après une lésion de ces voies. Avec cette première étude, nous avons donc exploré comment le cerveau et les voies descendantes intègrent des degrés de liberté articulaires supplémentaires dans le contrôle du bras. Dans la seconde étude (Raptis et al 2010), notre but était de clarifier la nature des variables spécifiées par les voies descendantes pour le contrôle d’actions motrices réalisées avec ce membre. Nous avons testé l’hypothèse selon laquelle les voies corticospinales contrôlent la position et les mouvements des bras en modulant la position-seuil (position de référence à partir de laquelle les muscles commencent à être activés en réponse à une déviation de cette référence). Selon ce principe, les voies corticospinales ne spécifieraient pas directement les patrons d’activité EMG, ce qui se refléterait par une dissociation entre l’EMG et l’excitabilité corticospinale pour des positions-seuils différentes. Dans un manipulandum, des participants (n=16) ont modifié leur angle du poignet, d’une position de flexion (45°) à une position d’extension (-25°), et vice-versa. Les forces élastiques passives des muscles ont été compensées avec un moteur couple afin que les sujets puissent égaliser leur activité EMG de base dans les deux positions. L’excitabilité motoneuronale dans ces positions a été comparée à travers l’analyse des réponses EMG évoquées à la suite d’étirements brefs. Dans les deux positions, le niveau d’EMG et l’excitabilité motoneuronale étaient semblables. De plus, ces tests ont permis de montrer que le repositionnement du poignet était associé à une translation de la position-seuil. Par contre, malgré la similitude de l’excitabilité motoneuronale dans ces positions, l’excitabilité corticospinale des muscles du poignet était significativement différente : les impulsions de stimulation magnétique transcrânienne (TMS; à 1.2 MT, sur l’aire du poignet de M1) ont provoqué des potentiels moteurs évoqués (MEP) de plus grande amplitude en flexion pour les fléchisseurs comparativement à la position d’extension et vice-versa pour les extenseurs (p<0.005 pour le groupe). Lorsque les mêmes positions étaient établies après une relaxation profonde, les réponses réflexes et les amplitudes des MEPs ont drastiquement diminué. La relation caractéristique observée entre position physique et amplitude des MEPs dans le positionnement actif s’est aussi estompée lorsque les muscles étaient relâchés. Cette étude suggère que la voie corticospinale, en association avec les autres voies descendantes, participerait au contrôle de la position-seuil, un processus qui prédéterminerait le référentiel spatial dans lequel l’activité EMG émerge. Ce contrôle de la « référence » constituerait un principe commun s’appliquant à la fois au contrôle de la force musculaire, de la position, du mouvement et de la relaxation. Nous avons aussi mis en évidence qu’il est nécessaire, dans les prochaines recherches ou applications utilisant la TMS, de prendre en compte la configuration-seuil des articulations, afin de bien interpréter les réponses musculaires (ou leurs changements) évoquées par cette technique; en effet, la configuration-seuil influencerait de manière notable l’excitabilité corticomotrice, qui peut être considérée comme un indicateur non seulement lors d’activités musculaires, mais aussi cognitives, après apprentissages moteurs ou lésions neurologiques causant des déficits moteurs (ex. spasticité, faiblesse). Considérées dans leur ensemble, ces deux études apportent un éclairage inédit sur des principes fondamentaux du contrôle moteur : nous y illustrons de manière plus large le rôle du système vestibulaire dans les tâches d’atteinte exigeant une coordination entre le bras et son « support » (le tronc) et clarifions l’implication des voies corticomotrices dans la spécification de paramètres élémentaires du contrôle moteur du bras. De plus amples recherches sont cependant nécessaires afin de mieux comprendre comment les systèmes sensoriels et descendants (e.g. vestibulo-, réticulo-, rubro-, propriospinal) participent et interagissent avec les signaux corticofugaux afin de spécifier les seuils neuromusculaires dans le contrôle de la posture et du mouvement.

Design and Development of a Frame Based MT System for English-to-ISL

This paper presents the design and development of a frame based approach for speech to sign language machine translation system in the domain of railways and banking. This work aims to utilize the capability of Artificial intelligence for the improvement of physically challenged, deaf-mute people. Our work concentrates on the sign language used by the deaf community of Indian subcontinent which is called Indian Sign Language (ISL). Input to the system is the clerk’s speech and the output of this system is a 3D virtual human character playing the signs for the uttered phrases. The system builds up 3D animation from pre-recorded motion capture data. Our work proposes to build a Malayalam to ISL

Motion Segmentation And Meanshift Assisted Contour Refinement For Airborne Video

This paper presents methods for moving object detection in airborne video surveillance. The motion segmentation in the above scenario is usually difficult because of small size of the object, motion of camera, and inconsistency in detected object shape etc. Here we present a motion segmentation system for moving camera video, based on background subtraction. An adaptive background building is used to take advantage of creation of background based on most recent frame. Our proposed system suggests CPU efficient alternative for conventional batch processing based background subtraction systems. We further refine the segmented motion by meanshift based mode association.

Single Frame Image Super Resolution Using Learned Directionlets

In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. This method uses directionlets to effectively capture directional features and to extract edge information along different directions of a set of available high resolution images .This information is used as the training set for super resolving a low resolution input image and the Directionlet coefficients at finer scales of its high-resolution image are learned locally from this training set and the inverse Directionlet transform recovers the super-resolved high resolution image. The simulation results showed that the proposed approach outperforms standard interpolation techniques like Cubic spline interpolation as well as standard Wavelet-based learning, both visually and in terms of the mean squared error (mse) values. This method gives good result with aliased images also.

Recovering Euclidean deformable models from stereo-motion

In this paper we present a novel structure from motion (SfM) approach able to infer 3D deformable models from uncalibrated stereo images. Using a stereo setup dramatically improves the 3D model estimation when the observed 3D shape is mostly deforming without undergoing strong rigid motion. Our approach first calibrates the stereo system automatically and then computes a single metric rigid structure for each frame. Afterwards, these 3D shapes are aligned to a reference view using a RANSAC method in order to compute the mean shape of the object and to select the subset of points on the object which have remained rigid throughout the sequence without deforming. The selected rigid points are then used to compute frame-wise shape registration and to extract the motion parameters robustly from frame to frame. Finally, all this information is used in a global optimization stage with bundle adjustment which allows to refine the frame-wise initial solution and also to recover the non-rigid 3D model. We show results on synthetic and real data that prove the performance of the proposed method even when there is no rigid motion in the original sequence

A proposal to estimate the motion of an underwater vehicle through visual mosaicking

This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.

VLSI architecture for motion estimation in underwater imaging

El treball desenvolupat en aquesta tesi aprofundeix i aporta solucions innovadores en el camp orientat a tractar el problema de la correspondència en imatges subaquàtiques. En aquests entorns, el que realment complica les tasques de processat és la falta de contorns ben definits per culpa d'imatges esborronades; un fet aquest que es deu fonamentalment a il·luminació deficient o a la manca d'uniformitat dels sistemes d'il·luminació artificials. Els objectius aconseguits en aquesta tesi es poden remarcar en dues grans direccions. Per millorar l'algorisme d'estimació de moviment es va proposar un nou mètode que introdueix paràmetres de textura per rebutjar falses correspondències entre parells d'imatges. Un seguit d'assaigs efectuats en imatges submarines reals han estat portats a terme per seleccionar les estratègies més adients. Amb la finalitat d'aconseguir resultats en temps real, es proposa una innovadora arquitectura VLSI per la implementació d'algunes parts de l'algorisme d'estimació de moviment amb alt cost computacional.

Linear hashtable motion estimation algorithm for distributed video processing

This paper presents a parallel Linear Hashtable Motion Estimation Algorithm (LHMEA). Most parallel video compression algorithms focus on Group of Picture (GOP). Based on LHMEA we proposed earlier [1][2], we developed a parallel motion estimation algorithm focus inside of frame. We divide each reference frames into equally sized regions. These regions are going to be processed in parallel to increase the encoding speed significantly. The theory and practice speed up of parallel LHMEA according to the number of PCs in the cluster are compared and discussed. Motion Vectors (MV) are generated from the first-pass LHMEA and used as predictors for second-pass Hexagonal Search (HEXBS) motion estimation, which only searches a small number of Macroblocks (MBs). We evaluated distributed parallel implementation of LHMEA of TPA for real time video compression.

Motion of the dayside polar cap boundary during substorm cycles: I. Observations of pulses in the magnetopause reconnection rate

Using data from the EISCAT (European Incoherent Scatter) VHF radar and DMSP (Defense Meteorological Satellite Program) spacecraft passes, we study the motion of the dayside open-closed field line boundary during two substorm cycles. The satellite data show that the motions of ion and electron temperature boundaries in EISCAT data, as reported by Moen et al. (2004), are not localised around the radar; rather, they reflect motions of the open-closed field line boundary at all MLT throughout the dayside auroral ionosphere. The boundary is shown to erode equatorward when the IMF points southward, consistent with the effect of magnetopause reconnection. During the substorm expansion and recovery phases, the dayside boundary returns poleward, whether the IMF points northward or southward. However, the poleward retreat was much faster during the substorm for which the IMF had returned to northward than for the substorm for which the IMF remained southward – even though the former substorm is much the weaker of the two. These poleward retreats are consistent with the destruction of open flux at the tail current sheet. Application of a new analysis of the peak ion energies at the equatorward edge of the cleft/cusp/mantle dispersion seen by the DMSP satellites identifies the dayside reconnection merging gap to extend in MLT from about 9.5 to 15.5 h for most of the interval. Analysis of the boundary motion, and of the convection velocities seen near the boundary by EISCAT, allows calculation of the reconnection rate (mapped down to the ionosphere) from the flow component normal to the boundary in its own rest frame. This reconnection rate is not, in general, significantly different from zero before 06:45 UT (MLT<9.5 h) – indicating that the X line footprint expands over the EISCAT field-of-view to earlier MLT only occasionally and briefly. Between 06:45 UT and 12:45UT (9.5

Numbers in motion

We explore the debates surrounding the constructive and discursive capabilities of accounting information focusing in particular on the reception volatility of numbers once they are produced and ‘exposed’ to various communities of minds. Drawing on Goffman’s (1974) frame analysis and Vollmer’s (2007) work on the three-dimensional character of numerical signs, we explore how numbers can go through gradual or instantaneous transformations, get caught up in public debates and become ‘agents’ or ‘captives’ in creating social order and in some cases social drama. In our analysis we also relate to the work of Durkheim (1993, 2002) on the sociology of morality to illustrate how numbers can become indicators of moral transgression. The study explores both historical and contemporary examples of controversies and recent accounting scandals to demonstrate how preparers (of financial information) can lose control over numbers which then acquire new meanings through social context and collective (re)framing. The main contribution of the study is to illustrate how the narratives attached to numbers are malleable and fluid across both time and space.

VSImG: A high frame rate bitmap based display system for neuroscience research

This paper describes a visual stimulus generator (VSImG) capable of displaying a gray-scale, 256 x 256 x 8 bitmap image with a frame rate of 500 Hz using a boustrophedonic scanning technique. It is designed for experiments with motion-sensitive neurons of the fly`s visual system, where the flicker fusion frequency of the photoreceptors can reach up to 500 Hz. Devices with such a high frame rate are not commercially available, but are required, if sensory systems with high flicker fusion frequency are to be studied. The implemented hardware approach gives us complete real-time control of the displacement sequence and provides all the signals needed to drive an electrostatic deflection display. With the use of analog signals, very small high-resolution displacements, not limited by the image`s pixel size can be obtained. Very slow image displacements with visually imperceptible steps can also be generated. This can be of interest for other vision research experiments. Two different stimulus files can be used simultaneously, allowing the system to generate X-Y displacements on one display or independent movements on two displays as long as they share the same bitmap image. (C) 2011 Elsevier B.V. All rights reserved.

On the motion under focal attraction in a rotating medium

New results are established here on the phase portraits and bifurcations of the kinematic model in system (1), first presented by H.K. Wilson in [3], and by him attributed to L. Markus (unpublished). A new, self-sufficient, study which extends that of [3] and allows an essential conclusion for the applicability of the model is reported here.

Motion Cues Analysis for Parkinson Gait Recognition

Background: Previous assessment methods for PG recognition used sensor mechanisms for PG that may cause discomfort. In order to avoid stress of applying wearable sensors, computer vision (CV) based diagnostic systems for PG recognition have been proposed. Main constraints in these methods are the laboratory setup procedures: Novel colored dresses for the patients were specifically designed to segment the test body from a specific colored background. Objective: To develop an image processing tool for home-assessment of Parkinson Gait(PG) by analyzing motion cues extracted during the gait cycles. Methods: The system is based on the idea that a normal body attains equilibrium during the gait by aligning the body posture with the axis of gravity. Due to the rigidity in muscular tone, persons with PD fail to align their bodies with the axis of gravity. The leaned posture of PD patients appears to fall forward. Whereas a normal posture exhibits a constant erect posture throughout the gait. Patients with PD walk with shortened stride angle (less than 15 degrees on average) with high variability in the stride frequency. Whereas a normal gait exhibits a constant stride frequency with an average stride angle of 45 degrees. In order to analyze PG, levodopa-responsive patients and normal controls were videotaped with several gait cycles. First, the test body is segmented in each frame of the gait video based on the pixel contrast from the background to form a silhouette. Next, the center of gravity of this silhouette is calculated. This silhouette is further skeletonized from the video frames to extract the motion cues. Two motion cues were stride frequency based on the cyclic leg motion and the lean frequency based on the angle between the leaned torso tangent and the axis of gravity. The differences in the peaks in stride and lean frequencies between PG and normal gait are calculated using Cosine Similarity measurements. Results: High cosine dissimilarity was observed in the stride and lean frequencies between PG and normal gait. High variations are found in the stride intervals of PG whereas constant stride intervals are found in the normal gait. Conclusions: We propose an algorithm as a source to eliminate laboratory constraints and discomfort during PG analysis. Installing this tool in a home computer with a webcam allows assessment of gait in the home environment.