Localização e Mapeamento são problemas fundamentais da robótica que vêm sendo estudados exaustivamente pela comunidade científica para a navegação de robôs móveis. A maior parte das pesquisas estão concentradas em implementações para computadores pessoais, mas pouco se tem feito na área de computação embarcada. Este trabalho mostra a análise e implementação em FPGA de um algoritmo de localização para ambientes dinâmicos composto por um filtro de partículas, e também de um algoritmo de mapeamento baseado na técnica de scan matching. Os algoritmos originais desenvolvidos em linguagem de programação C foram analisados e modificados para uma abordagem embarcada (embedded) em robôs reconfiguráveis utilizando-se o processador Nios II da Altera. Os algoritmos são comparados quanto ao desempenho, no intuito de servir como referência no futuro desenvolvimento da ferramenta de codesign autom´atico ARCHITECT+ / Localization and Mapping are fundamental robot navigation problems wich currently has been exaustily studied by scientific comunity. Most of research is concentrated on implementation for personal computers, and the robot navigation is done on static environment. But, these algorithms can not be directly applied for embedded solutions on dynamic environments. This work shows an analysis and implementation on FPGA of a localization algorithm for dynamic environments composed of a particle filter, and by an mapping algorthm known as scan matching. The original algorithm devoloped on C programming language for PCs are analised and modified for an embedded approach to mobile robots using Altera Nios II processor. Both C and embedded algorithms are compared within performance, to serve as reference on a future developement of automatic codesign tool ARCHITECT+

Este trabalho apresenta um método de estimativa de torque do joelho baseado em sinais eletromiográficos (EMG) durante terapia de reabilitação robótica. Os EMGs, adquiridos de cinco músculos envolvidos no movimento de flexão e extensão do joelho, são processados para encontrar as ativações musculares. Em seguida, mediante um modelo simples de contração muscular, são calculadas as forças e, usando a geometria da articulação, o torque do joelho. As funções de ativação e contração musculares possuem parâmetros limitados que devem ser calibrados para cada usuário, sendo o ajuste feito mediante a minimização do erro entre o torque estimado e o torque medido na articulação usando a dinâmica inversa. São comparados dois métodos iterativos para funções não-lineares como técnicas de otimização restrita para a calibração dos parâmetros: Gradiente Descendente e Quasi-Newton. O processamento de sinais, calibração de parâmetros e cálculo de torque estimado foram desenvolvidos no software MATLAB®; o cálculo de torque medido foi feito no software OpenSim com sua ferramenta de dinâmica inversa. / This work presents a method for knee torque estimation based on electromyographic signals (EMG) during robotic rehabilitation therapy. EMG, taken from five muscles acting during flexion and extension movements of the knee joint, are processed to get the muscle activations. Then, through a simple model of muscle contraction, the forces are computed and knee torque estimated using the joint geometry. Muscle activation and muscle contraction functions have bounded parameters to be adjusted for each user. This adjustment is made by minimizing the error between the estimated torque and the measured torque in the joint computed via inverse dynamics. Two iterative methods for constrained nonlinear optimization are compared, escending Gradient and Quasi-Newton. Signal processing, parameters calibration and estimated torque calculation are developed in the MATLAB® software. Measured torque calculation is performed on OpenSim software using the dynamic inverse tool.

This dissertation presents a novel concept of a hard real-time telerobotic control system using sensory-based assistive functions combining autonomous control mode, force and motion-based virtual fixtures, and scaled teleoperation. The system has been implemented as a PC-based multithreaded, real-time controller with a haptic user interface and a 6-DoF slave manipulator. A telerobotic system is a system that allows a human to control a manipulator remotely and the human control is combined with computer control. A telerobotic control system with sensor-based assistance capabilities enables the user to make high-level decisions, such as target object selection, and it enables the system to generate trajectories and virtual constraints to be used for autonomous motion or scaled teleoperation. The design and realization of a telerobotic system with the capabilities of sensing and manipulating objects with haptic feedback, either real or virtual, require utilization of sensor-based assist functions through an efficient real-time control scheme. This dissertation addresses the problem of integrating sensory information and the calculation of sensor-based assist functions (SAF's) in hard real-time using PC-based resources. The SAF's calculations are based on information from a laser range finder, with additional visual feedback from a camera, and haptic measurements for motion assistance and scaling during the approach to a target and while following a desired path. This research compares the performance of the autonomous control mode, force and motion-based virtual fixtures, and scaled teleoperation. The results show that a versatile PC-based real-time telerobotic platform adaptable to a wide range of users and tasks is achievable. A key aspect is the real-time operation and performance with multithreaded software architecture. This platform can be used for several applications in areas such as rehabilitation engineering and clinical research, surgery, defense, and assistive technology solutions.

Dans le cas des pièces aéronautiques de grandes dimensions et de formes complexes nécessitant un bon état de surface, les opérations de polissage sont la plupart du temps réalisées manuellement par des opérateurs spécialisés. Ces opérations étant longues, pénibles et coûteuses, il paraît pertinent de s’intéresser à leur automatisation. Dans ces travaux de thèse, nous nous intéressons à la mise en place d’un processus de polissage robotisé pour un train d'atterrissage en acier à haute résistance. La définition du processus robotisé passe par la définition des outils adéquats (taille de grain, forme et souplesse), des conditions de polissage (effort, vitesse de coupe, vitesse d’avance, angle de dépinçage et recouvrement) et le réglage des paramètres de la commande en effort en fonction du matériau à polir et de la spécification de rugosité visée. Un modèle d’enlèvement de matière est ensuite proposé afin de maîtriser le défaut d’état de surface généré pour des outils « disques ». Une campagne expérimentale permet enfin de valider la mise en œuvre du robot et du processus de polissage sur une pièce spécifique, notamment en ce qui concerne la chaîne numérique. / In the case of aircraft large parts and complex shapes requiring a good finish state, polishing operations are mostly performed manually by specialized operators. These operations are long, painful and expensive, it seems relevant to be interested in their automation. In the thesis work, we focus on the development of a robotic polishing process for high strength steel landing gear. The definition of the robotic process involves the definition of appropriate tools (grain size, shape and flexibility), polishing conditions (force, cutting speed, feed rate, inclination angle and overlap) and adjustment of parameters the force control based on the material to be polished and the specification roughness. A material removal model is then proposed to control the surface state generated for discs tools. Finally, an experimental campaign validates the implementation of the robot and the polishing process on a specific part, in particular as regards the numerical chain.

No description available.

Current clinical practice regarding upper body prosthesis prescription and training is lacking a standarized, quantitative method to evaluate the impact of the prosthetic device. The amputee care team typically uses prior experiences to provide prescription and training customized for each individual. As a result, it is quite challenging to determine the right type and fit of a prosthesis and provide appropriate training to properly utilize it early in the process. It is also very difficult to anticipate expected and undesired compensatory motions due to reduced degrees of freedom of a prosthesis user. In an effort to address this, a tool was developed to predict and visualize the expected upper limb movements from a prescribed prosthesis and its suitability to the needs of the amputee. It is expected to help clinicians make decisions such as choosing between a body-powered or a myoelectric prosthesis, and whether to include a wrist joint. To generate the motions, a robotics-based model of the upper limbs and torso was created and a weighted least-norm (WLN) inverse kinematics algorithm was used. The WLN assigns a penalty (i.e. the weight) on each joint to create a priority between redundant joints. As a result, certain joints will contribute more to the total motion. Two main criteria were hypothesized to dictate the human motion. The first one was a joint prioritization criterion using a static weighting matrix. Since different joints can be used to move the hand in the same direction, joint priority will select between equivalent joints. The second criterion was to select a range of motion (ROM) for each joint specifically for a task. The assumption was that if the joints' ROM is limited, then all the unnatural postures that still satisfy the task will be excluded from the available solutions solutions. Three sets of static joint prioritization weights were investigated: a set of optimized weights specifically for each task, a general set of static weights optimized for all tasks, and a set of joint absolute average velocity-based weights. Additionally, task joint limits were applied both independently and in conjunction with the static weights to assess the simulated motions they can produce. Using a generalized weighted inverse control scheme to resolve for redundancy, a human-like posture for each specific individual was created. Motion capture (MoCap) data were utilized to generate the weighting matrices required to resolve the kinematic redundancy of the upper limbs. Fourteen able-bodied individuals and eight prosthesis users with a transradial amputation on the left side participated in MoCap sessions. They performed ROM and activities of daily living (ADL) tasks. The methods proposed here incorporate patient's anthropometrics, such as height, limb lengths, and degree of amputation, to create an upper body kinematic model. The model has 23 degrees-of-freedom (DoFs) to reflect a human upper body and it can be adjusted to reflect levels of amputation. The weighting factors resulted from this process showed how joints are prioritized during each task. The physical meaning of the weighting factors is to demonstrate which joints contribute more to the task. Since the motion is distributed differently between able-bodied individuals and prosthesis users, the weighting factors will shift accordingly. This shift highlights the compensatory motion that exist on prosthesis users. The results show that using a set of optimized joint prioritization weights for each specific task gave the least RMS error compared to common optimized weights. The velocity-based weights had a slightly higher RMS error than the task optimized weights but it was not statistically significant. The biggest benefit of that weight set is their simplicity to implement compared to the optimized weights. Another benefit of the velocity based weights is that they can explicitly show how mobile each joint is during a task and they can be used alongside the ROM to identify compensatory motion. The inclusion of task joint limits gave lower RMS error when the joint movements were similar across subjects and therefore the ROM of each joint for the task could be established more accurately. When the joint movements were too different among participants, the inclusion of task limits was detrimental to the simulation. Therefore, the static set of task specific optimized weights was found to be the most accurate and robust method. However, the velocity-based weights method was simpler with similar accuracy. The methods presented here were integrated in a previously developed graphical user interface (GUI) to allow the clinician to input the data of the prospective prosthesis users. The simulated motions can be presented as an animation that performs the requested task. Ultimately, the final animation can be used as a proposed kinematic strategy that a prosthesis user and a clinician can refer to, during the rehabilitation process as a guideline. This work has the potential to impact current prosthesis prescription and training by providing personalized proposed motions for a task.

<p>Metal wire deposition by means of robotized laser welding offers great saving potentials, i.e. reduced costs and reduced lead times, in many different applications, such as fabrication of complex components, repair or modification of high-value components, rapid prototyping and low volume production, especially if the process can be automated. Metal deposition is a layered manufacturing technique that builds metal structures by melting metal wire into beads which are deposited side by side and layer upon layer. This thesis presents a system for on-line monitoring and control of robotized laser metal wire deposition (RLMwD). The task is to ensure a stable deposition process with correct geometrical profile of the resulting geometry and sound metallurgical properties. Issues regarding sensor calibration, system identification and control design are discussed. The suggested controller maintains a constant bead height and width throughout the deposition process. It is evaluated through real experiments, however, limited to straight line deposition experiments. Solutions towards a more general controller, i.e. one that can handle different deposition paths, are suggested.</p><p>A method is also proposed on how an operator can use different sensor information for process understanding, process development and for manual on-line control. The strategies are evaluated through different deposition tasks and considered materials are tool steel and Ti-6Al-4V. The developed monitoring system enables an operator to control the process at a safe distance from the hazardous laser beam.</p><p>The results obtained in this work indicate promising steps towards full automation of the RLMwD process, i.e. without human intervention and for arbitrary deposition paths.</p> / RMS

Metal wire deposition by means of robotized laser welding offers great saving potentials, i.e. reduced costs and reduced lead times, in many different applications, such as fabrication of complex components, repair or modification of high-value components, rapid prototyping and low volume production, especially if the process can be automated. Metal deposition is a layered manufacturing technique that builds metal structures by melting metal wire into beads which are deposited side by side and layer upon layer. This thesis presents a system for on-line monitoring and control of robotized laser metal wire deposition (RLMwD). The task is to ensure a stable deposition process with correct geometrical profile of the resulting geometry and sound metallurgical properties. Issues regarding sensor calibration, system identification and control design are discussed. The suggested controller maintains a constant bead height and width throughout the deposition process. It is evaluated through real experiments, however, limited to straight line deposition experiments. Solutions towards a more general controller, i.e. one that can handle different deposition paths, are suggested. A method is also proposed on how an operator can use different sensor information for process understanding, process development and for manual on-line control. The strategies are evaluated through different deposition tasks and considered materials are tool steel and Ti-6Al-4V. The developed monitoring system enables an operator to control the process at a safe distance from the hazardous laser beam. The results obtained in this work indicate promising steps towards full automation of the RLMwD process, i.e. without human intervention and for arbitrary deposition paths. / RMS

The adoption of Minimally Invasive Surgery (MIS) and Robot-Assisted MIS has resulted in the distortion of haptic cues surgeons rely on. The application of excessive force during port creation has lead to increased surgical access trauma. This study aims to quantify the forces experienced during port creation with a blunt-ended Threaded Visual Cannula (TVC) in an effort to ameliorate patient safety, provide a quantitative platform for surgeon training, and offer a gateway for the eventual automation of this problematic aspect of MIS. A method of determining the torque encountered during port creation was established. It was found that the magnitude of torque required to cannulate different materials was unique and was dictated by the friction observed at the tool/tissue interface. Furthermore, the ability to detect instantaneous changes in torque arising from the transition between two different media was not found to be possible with the current design of the TVC.

The adoption of Minimally Invasive Surgery (MIS) and Robot-Assisted MIS has resulted in the distortion of haptic cues surgeons rely on. The application of excessive force during port creation has lead to increased surgical access trauma. This study aims to quantify the forces experienced during port creation with a blunt-ended Threaded Visual Cannula (TVC) in an effort to ameliorate patient safety, provide a quantitative platform for surgeon training, and offer a gateway for the eventual automation of this problematic aspect of MIS. A method of determining the torque encountered during port creation was established. It was found that the magnitude of torque required to cannulate different materials was unique and was dictated by the friction observed at the tool/tissue interface. Furthermore, the ability to detect instantaneous changes in torque arising from the transition between two different media was not found to be possible with the current design of the TVC.