Vers une musique numérique vivante : Regard sur le processus créatif de quatre œuvres musicales

La version intégrale de ce mémoire est disponible uniquement pour consultation individuelle à la Bibliothèque de musique de l’Université de Montréal (http://www.bib.umontreal.ca/MU).

Suivi des vaisseaux sanguins en temps réel à partir d’images ultrasonores mode-B et reconstruction 3D : application à la caractérisation des sténoses artérielles

La maladie des artères périphériques (MAP) se manifeste par une réduction (sténose) de la lumière de l’artère des membres inférieurs. Elle est causée par l’athérosclérose, une accumulation de cellules spumeuses, de graisse, de calcium et de débris cellulaires dans la paroi artérielle, généralement dans les bifurcations et les ramifications. Par ailleurs, la MAP peut être causée par d`autres facteurs associés comme l’inflammation, une malformation anatomique et dans de rares cas, au niveau des artères iliaques et fémorales, par la dysplasie fibromusculaire. L’imagerie ultrasonore est le premier moyen de diagnostic de la MAP. La littérature clinique rapporte qu’au niveau de l’artère fémorale, l’écho-Doppler montre une sensibilité de 80 à 98 % et une spécificité de 89 à 99 % à détecter une sténose supérieure à 50 %. Cependant, l’écho-Doppler ne permet pas une cartographie de l’ensemble des artères des membres inférieurs. D’autre part, la reconstruction 3D à partir des images échographiques 2D des artères atteintes de la MAP est fortement opérateur dépendant à cause de la grande variabilité des mesures pendant l’examen par les cliniciens. Pour planifier une intervention chirurgicale, les cliniciens utilisent la tomodensitométrie (CTA), l’angiographie par résonance magnétique (MRA) et l’angiographie par soustraction numérique (DSA). Il est vrai que ces modalités sont très performantes. La CTA montre une grande précision dans la détection et l’évaluation des sténoses supérieures à 50 % avec une sensibilité de 92 à 97 % et une spécificité entre 93 et 97 %. Par contre, elle est ionisante (rayon x) et invasive à cause du produit de contraste, qui peut causer des néphropathies. La MRA avec injection de contraste (CE MRA) est maintenant la plus utilisée. Elle offre une sensibilité de 92 à 99.5 % et une spécificité entre 64 et 99 %. Cependant, elle sous-estime les sténoses et peut aussi causer une néphropathie dans de rares cas. De plus les patients avec stents, implants métalliques ou bien claustrophobes sont exclus de ce type d`examen. La DSA est très performante mais s`avère invasive et ionisante. Aujourd’hui, l’imagerie ultrasonore (3D US) s’est généralisée surtout en obstétrique et échocardiographie. En angiographie il est possible de calculer le volume de la plaque grâce à l’imagerie ultrasonore 3D, ce qui permet un suivi de l’évolution de la plaque athéromateuse au niveau des vaisseaux. L’imagerie intravasculaire ultrasonore (IVUS) est une technique qui mesure ce volume. Cependant, elle est invasive, dispendieuse et risquée. Des études in vivo ont montré qu’avec l’imagerie 3D-US on est capable de quantifier la plaque au niveau de la carotide et de caractériser la géométrie 3D de l'anastomose dans les artères périphériques. Par contre, ces systèmes ne fonctionnent que sur de courtes distances. Par conséquent, ils ne sont pas adaptés pour l’examen de l’artère fémorale, à cause de sa longueur et de sa forme tortueuse. L’intérêt pour la robotique médicale date des années 70. Depuis, plusieurs robots médicaux ont été proposés pour la chirurgie, la thérapie et le diagnostic. Dans le cas du diagnostic artériel, seuls deux prototypes sont proposés, mais non commercialisés. Hippocrate est le premier robot de type maitre/esclave conçu pour des examens des petits segments d’artères (carotide). Il est composé d’un bras à 6 degrés de liberté (ddl) suspendu au-dessus du patient sur un socle rigide. À partir de ce prototype, un contrôleur automatisant les déplacements du robot par rétroaction des images échographiques a été conçu et testé sur des fantômes. Le deuxième est le robot de la Colombie Britannique conçu pour les examens à distance de la carotide. Le mouvement de la sonde est asservi par rétroaction des images US. Les travaux publiés avec les deux robots se limitent à la carotide. Afin d’examiner un long segment d’artère, un système robotique US a été conçu dans notre laboratoire. Le système possède deux modes de fonctionnement, le mode teach/replay (voir annexe 3) et le mode commande libre par l’utilisateur. Dans ce dernier mode, l’utilisateur peut implémenter des programmes personnalisés comme ceux utilisés dans ce projet afin de contrôler les mouvements du robot. Le but de ce projet est de démontrer les performances de ce système robotique dans des conditions proches au contexte clinique avec le mode commande libre par l’utilisateur. Deux objectifs étaient visés: (1) évaluer in vitro le suivi automatique et la reconstruction 3D en temps réel d’une artère en utilisant trois fantômes ayant des géométries réalistes. (2) évaluer in vivo la capacité de ce système d'imagerie robotique pour la cartographie 3D en temps réel d'une artère fémorale normale. Pour le premier objectif, la reconstruction 3D US a été comparée avec les fichiers CAD (computer-aided-design) des fantômes. De plus, pour le troisième fantôme, la reconstruction 3D US a été comparée avec sa reconstruction CTA, considéré comme examen de référence pour évaluer la MAP. Cinq chapitres composent ce mémoire. Dans le premier chapitre, la MAP sera expliquée, puis dans les deuxième et troisième chapitres, l’imagerie 3D ultrasonore et la robotique médicale seront développées. Le quatrième chapitre sera consacré à la présentation d’un article intitulé " A robotic ultrasound scanner for automatic vessel tracking and three-dimensional reconstruction of B-mode images" qui résume les résultats obtenus dans ce projet de maîtrise. Une discussion générale conclura ce mémoire. L’article intitulé " A 3D ultrasound imaging robotic system to detect and quantify lower limb arterial stenoses: in vivo feasibility " de Marie-Ange Janvier et al dans l’annexe 3, permettra également au lecteur de mieux comprendre notre système robotisé. Ma contribution dans cet article était l’acquisition des images mode B, la reconstruction 3D et l’analyse des résultats pour le patient sain.

Les enjeux identitaires de l’humain dans le débat philosophique sur la robotique humanoïde et l’amélioration humaine

Article

A Beacon based Localization System for Autonomous Mobile Robots and its Applications in Traffic and Transport Control

ACCURATE sensing of vehicle position and attitude is still a very challenging problem in many mobile robot applications. The mobile robot vehicle applications must have some means of estimating where they are and in which direction they are heading. Many existing indoor positioning systems are limited in workspace and robustness because they require clear lines-of-sight or do not provide absolute, driftfree measurements.The research work presented in this dissertation provides a new approach to position and attitude sensing system designed specifically to meet the challenges of operation in a realistic, cluttered indoor environment, such as that of an office building, hospital, industrial or warehouse. This is accomplished by an innovative assembly of infrared LED source that restricts the spreading of the light intensity distribution confined to a sheet of light and is encoded with localization and traffic information. This Digital Infrared Sheet of Light Beacon (DISLiB) developed for mobile robot is a high resolution absolute localization system which is simple, fast, accurate and robust, without much of computational burden or significant processing. Most of the available beacon's performance in corridors and narrow passages are not satisfactory, whereas the performance of DISLiB is very encouraging in such situations. This research overcomes most of the inherent limitations of existing systems.The work further examines the odometric localization errors caused by over count readings of an optical encoder based odometric system in a mobile robot due to wheel-slippage and terrain irregularities. A simple and efficient method is investigated and realized using an FPGA for reducing the errors. The detection and correction is based on redundant encoder measurements. The method suggested relies on the fact that the wheel slippage or terrain irregularities cause more count readings from the encoder than what corresponds to the actual distance travelled by the vehicle.The application of encoded Digital Infrared Sheet of Light Beacon (DISLiB) system can be extended to intelligent control of the public transportation system. The system is capable of receiving traffic status input through a GSM (Global System Mobile) modem. The vehicles have infrared receivers and processors capable of decoding the information, and generating the audio and video messages to assist the driver. The thesis further examines the usefulness of the technique to assist the movement of differently-able (blind) persons in indoor or outdoor premises of his residence.The work addressed in this thesis suggests a new way forward in the development of autonomous robotics and guidance systems. However, this work can be easily extended to many other challenging domains, as well.

A Realization Of An Fpga Sub System For Reducing Odometric Localization Errors In Wheeled Mobile Robots

This paper introduces a simple and efficient method and its implementation in an FPGA for reducing the odometric localization errors caused by over count readings of an optical encoder based odometric system in a mobile robot due to wheel-slippage and terrain irregularities. The detection and correction is based on redundant encoder measurements. The method suggested relies on the fact that the wheel slippage or terrain irregularities cause more count readings from the encoder than what corresponds to the actual distance travelled by the vehicle. The standard quadrature technique is used to obtain four counts in each encoder period. In this work a three-wheeled mobile robot vehicle with one driving-steering wheel and two-fixed rear wheels in-axis, fitted with incremental optical encoders is considered. The CORDIC algorithm has been used for the computation of sine and cosine terms in the update equations. The results presented demonstrate the effectiveness of the technique

Optimization-Based Robotic Manipulation for Safe Interaction with Human Operators

This thesis investigates a method for human-robot interaction (HRI) in order to uphold productivity of industrial robots like minimization of the shortest operation time, while ensuring human safety like collision avoidance. For solving such problems an online motion planning approach for robotic manipulators with HRI has been proposed. The approach is based on model predictive control (MPC) with embedded mixed integer programming. The planning strategies of the robotic manipulators mainly considered in the thesis are directly performed in the workspace for easy obstacle representation. The non-convex optimization problem is approximated by a mixed-integer program (MIP). It is further effectively reformulated such that the number of binary variables and the number of feasible integer solutions are drastically decreased. Safety-relevant regions, which are potentially occupied by the human operators, can be generated online by a proposed method based on hidden Markov models. In contrast to previous approaches, which derive predictions based on probability density functions in the form of single points, such as most likely or expected human positions, the proposed method computes safety-relevant subsets of the workspace as a region which is possibly occupied by the human at future instances of time. The method is further enhanced by combining reachability analysis to increase the prediction accuracy. These safety-relevant regions can subsequently serve as safety constraints when the motion is planned by optimization. This way one arrives at motion plans that are safe, i.e. plans that avoid collision with a probability not less than a predefined threshold. The developed methods have been successfully applied to a developed demonstrator, where an industrial robot works in the same space as a human operator. The task of the industrial robot is to drive its end-effector according to a nominal sequence of grippingmotion-releasing operations while no collision with a human arm occurs.

Generating Compliant Motion of Objects with an Articulated Hand

The flexibility of the robot is the key to its success as a viable aid to production. Flexibility of a robot can be explained in two directions. The first is to increase the physical generality of the robot such that it can be easily reconfigured to handle a wide variety of tasks. The second direction is to increase the ability of the robot to interact with its environment such that tasks can still be successfully completed in the presence of uncertainties. The use of articulated hands are capable of adapting to a wide variety of grasp shapes, hence reducing the need for special tooling. The availability of low mass, high bandwidth points close to the manipulated object also offers significant improvements I the control of fine motions. This thesis provides a framework for using articulated hands to perform local manipulation of objects. N particular, it addresses the issues in effecting compliant motions of objects in Cartesian space. The Stanford/JPL hand is used as an example to illustrate a number of concepts. The examples provide a unified methodology for controlling articulated hands grasping with point contacts. We also present a high-level hand programming system based on the methodologies developed in this thesis. Compliant motion of grasped objects and dexterous manipulations can be easily described in the LISP-based hand programming language.

MARVEL: A System for Recognizing World Locations with Stereo Vision

To use a world model, a mobile robot must be able to determine its own position in the world. To support truly autonomous navigation, I present MARVEL, a system that builds and maintains its own models of world locations and uses these models to recognize its world position from stereo vision input. MARVEL is designed to be robust with respect to input errors and to respond to a gradually changing world by updating its world location models. I present results from real-world tests of the system that demonstrate its reliability. MARVEL fits into a world modeling system under development.

The Control of Human Arm Movement Models and Mechanical Constraints

A serial-link manipulator may form a mobile closed kinematic chain when interacting with the environment, if it is redundant with respect to the task degrees of freedom (DOFs) at the endpoint. If the mobile closed chain assumes a number of configurations, then loop consistency equations permit the manipulator and task kinematics to be calibrated simultaneously using only the joint angle readings; endpoint sensing is not required. Example tasks include a fixed endpoint (0 DOF task), the opening of a door (1 DOF task), and point contact (3 DOF task). Identifiability conditions are derived for these various tasks.

Passive Dynamics in the Control of Gymnastic Maneuvers

The control of aerial gymnastic maneuvers is challenging because these maneuvers frequently involve complex rotational motion and because the performer has limited control of the maneuver during flight. A performer can influence a maneuver using a sequence of limb movements during flight. However, the same sequence may not produce reliable performances in the presence of off-nominal conditions. How do people compensate for variations in performance to reliably produce aerial maneuvers? In this report I explore the role that passive dynamic stability may play in making the performance of aerial maneuvers simple and reliable. I present a control strategy comprised of active and passive components for performing robot front somersaults in the laboratory. I show that passive dynamics can neutrally stabilize the layout somersault which involves an "inherently unstable" rotation about the intermediate principal axis. And I show that a strategy that uses open loop joint torques plus passive dynamics leads to more reliable 1 1/2 twisting front somersaults in simulation than a strategy that uses prescribed limb motion. Results are presented from laboratory experiments on gymnastic robots, from dynamic simulation of humans and robots, and from linear stability analyses of these systems.

Contact Sensing: A Sequential Decision Approach to Sensing Manipulation Contact

This paper describes a new statistical, model-based approach to building a contact state observer. The observer uses measurements of the contact force and position, and prior information about the task encoded in a graph, to determine the current location of the robot in the task configuration space. Each node represents what the measurements will look like in a small region of configuration space by storing a predictive, statistical, measurement model. This approach assumes that the measurements are statistically block independent conditioned on knowledge of the model, which is a fairly good model of the actual process. Arcs in the graph represent possible transitions between models. Beam Viterbi search is used to match measurement history against possible paths through the model graph in order to estimate the most likely path for the robot. The resulting approach provides a new decision process that can be use as an observer for event driven manipulation programming. The decision procedure is significantly more robust than simple threshold decisions because the measurement history is used to make decisions. The approach can be used to enhance the capabilities of autonomous assembly machines and in quality control applications.

Parallel Coupled Micro-Macro Actuators

This thesis presents a new actuator system consisting of a micro-actuator and a macro-actuator coupled in parallel via a compliant transmission. The system is called the Parallel Coupled Micro-Macro Actuator, or PaCMMA. In this system, the micro-actuator is capable of high bandwidth force control due to its low mass and direct-drive connection to the output shaft. The compliant transmission of the macro-actuator reduces the impedance (stiffness) at the output shaft and increases the dynamic range of force. Performance improvement over single actuator systems was expected in force control, impedance control, force distortion and reduction of transient impact forces. A set of quantitative measures is proposed and the actuator system is evaluated against them: Force Control Bandwidth, Position Bandwidth, Dynamic Range, Impact Force, Impedance ("Backdriveability'"), Force Distortion and Force Performance Space. Several theoretical performance limits are derived from the saturation limits of the system. A control law is proposed and control system performance is compared to the theoretical limits. A prototype testbed was built using permanenent magnet motors and an experimental comparison was performed between this actuator concept and two single actuator systems. The following performance was observed: Force bandwidth of 56Hz, Torque Dynamic Range of 800:1, Peak Torque of 1040mNm, Minimum Torque of 1.3mNm. Peak Impact Force was reduced by an order of magnitude. Distortion at small amplitudes was reduced substantially. Backdriven impedance was reduced by 2-3 orders of magnitude. This actuator system shows promise for manipulator design as well as psychophysical tests of human performance.

Design and Control of an Anthropomorphic Robotic Finger with Multi-point Tactile Sensation

The goal of this research is to develop the prototype of a tactile sensing platform for anthropomorphic manipulation research. We investigate this problem through the fabrication and simple control of a planar 2-DOF robotic finger inspired by anatomic consistency, self-containment, and adaptability. The robot is equipped with a tactile sensor array based on optical transducer technology whereby localized changes in light intensity within an illuminated foam substrate correspond to the distribution and magnitude of forces applied to the sensor surface plane. The integration of tactile perception is a key component in realizing robotic systems which organically interact with the world. Such natural behavior is characterized by compliant performance that can initiate internal, and respond to external, force application in a dynamic environment. However, most of the current manipulators that support some form of haptic feedback either solely derive proprioceptive sensation or only limit tactile sensors to the mechanical fingertips. These constraints are due to the technological challenges involved in high resolution, multi-point tactile perception. In this work, however, we take the opposite approach, emphasizing the role of full-finger tactile feedback in the refinement of manual capabilities. To this end, we propose and implement a control framework for sensorimotor coordination analogous to infant-level grasping and fixturing reflexes. This thesis details the mechanisms used to achieve these sensory, actuation, and control objectives, along with the design philosophies and biological influences behind them. The results of behavioral experiments with a simple tactilely-modulated control scheme are also described. The hope is to integrate the modular finger into an %engineered analog of the human hand with a complete haptic system.

Procedures as a Representation for Data in a Computer Program for Understanding Natural Language

This paper describes a system for the computer understanding of English. The system answers questions, executes commands, and accepts information in normal English dialog. It uses semantic information and context to understand discourse and to disambiguate sentences. It combines a complete syntactic analysis of each sentence with a "heuristic understander" which uses different kinds of information about a sentence, other parts of the discourse, and general information about the world in deciding what the sentence means. It is based on the belief that a computer cannot deal reasonably with language unless it can "understand" the subject it is discussing. The program is given a detailed model of the knowledge needed by a simple robot having only a hand and an eye. We can give it instructions to manipulate toy objects, interrogate it about the scene, and give it information it will use in deduction. In addition to knowing the properties of toy objects, the program has a simple model of its own mentality. It can remember and discuss its plans and actions as well as carry them out. It enters into a dialog with a person, responding to English sentences with actions and English replies, and asking for clarification when its heuristic programs cannot understand a sentence through use of context and physical knowledge.

Fast Object Recognition in Noisy Images Using Simulated Annealing

A fast simulated annealing algorithm is developed for automatic object recognition. The normalized correlation coefficient is used as a measure of the match between a hypothesized object and an image. Templates are generated on-line during the search by transforming model images. Simulated annealing reduces the search time by orders of magnitude with respect to an exhaustive search. The algorithm is applied to the problem of how landmarks, for example, traffic signs, can be recognized by an autonomous vehicle or a navigating robot. The algorithm works well in noisy, real-world images of complicated scenes for model images with high information content.