Stroke is an age-related illness with significant individual and societal impacts. The long term impacts associated with many strokes can be mitigated with timely rehabilitation. Therapy robots have been introduced to these programs in an effort to reduce the economic burden to society and to improve the level of care provided to stroke survivors. The purpose of this thesis is to develop a teaching mode for an upper limb therapy robot. The system will allow physiotherapists to interact with the therapy robot without the need for any specialized industrial training. At the same, the system will reduce the data associated with patient movements to reduce requirements for robot safety and motion systems. The proposed system was successfully confirmed using a laboratory scale industrial robot and a standalone motion control system consisting of commercially available AC servo motors and a motion controller with both generated and recorded paths.

The diploma thesis is focused on Industry 4.0, where all essential elements of Industry 4.0 are gradually being discussed. This thesis presents the collaborative robots and their specifications are described and then the market for these robots is depicted. Subsequently, the robot cell is designed with collaborative robots ABB Yumi to serve the educational purposes. This created robotic cell is displayed exemplary role. In the last part of the thesis a risk analysis is created for this robotized workplace. This entire Risk Analysis Protocol is attached.

This thesis deals with articulated robots for special applications for confined spaces. Introduction work includes the distribution and development in the field of handling technology. It also deals with the handlers chain structure. Following the described types of articulated robot kinematic model was developed and subsequently implemented the 3D design in SolidWorks. The conclusion is drawn visualizations made-handling arm.

Faculty of Engineering in collaboration with the National Agricultural and Livestock Investigation Institute is developing a low cost platform capable of dealing with challenges imposed by agricultural activities, specifically, fruit transportation inside fields. In this context, the consequent dissertation focuses on the development of a dynamic model of an all terrain articulated autonomous vehicle to be applied in the aforementioned platform. The study includes the kinematic and dynamic analysis of the vehicle. Once those models are deducted, they are put together against the ones obtained for a biarticulated robot arm without ground fixation. To sum up, results will be adapted for computational simulation which was done via Gazebo, an ambience of the robot operating system ROS. Through this simulations it was possible to determine the model validity for the autonomous operating robotic platform. / Facultad de Ingeniería en conjunto con el Instituto Nacional de Investigación Agropecuaria desarrolla una plataforma móvil de bajo costo capaz de enfrentar los retos impuestos por la actividad agrícola, más específicamente, asistencia en el transporte de fruta. Es en este contexto que el presente trabajo se enfoca en desarrollar un modelo dinámico de un vehículo autónomo articulado todoterreno para ser aplicado en la mencionada plataforma. El estudio comprende el análisis de la cinemática y dinámica del vehículo. Una vez obtenidos los modelos cinemáticos y dinámicos, se compara los mismos con los obtenidos para un brazo biarticulado sin vínculo a tierra. Finalmente se adaptan los resultados para simulación computacional la cual fue realizada utilizando el ambiente Gazebo del sistema operativo robótico ROS. A través de esta simulación se pudo comprobar la validez del modelo desarrollado para la plataforma robótica autónoma en operación.

Faculty of Engineering in collaboration with the National Agricultural and Livestock Investigation Institute is developing a low cost platform capable of dealing with challenges imposed by agricultural activities, specifically, fruit transportation inside fields. In this context, the consequent dissertation focuses on the development of a dynamic model of an all terrain articulated autonomous vehicle to be applied in the aforementioned platform. The study includes the kinematic and dynamic analysis of the vehicle. Once those models are deducted, they are put together against the ones obtained for a biarticulated robot arm without ground fixation. To sum up, results will be adapted for computational simulation which was done via Gazebo, an ambience of the robot operating system ROS. Through this simulations it was possible to determine the model validity for the autonomous operating robotic platform. / Facultad de Ingeniería en conjunto con el Instituto Nacional de Investigación Agropecuaria desarrolla una plataforma móvil de bajo costo capaz de enfrentar los retos impuestos por la actividad agrícola, más específicamente, asistencia en el transporte de fruta. Es en este contexto que el presente trabajo se enfoca en desarrollar un modelo dinámico de un vehículo autónomo articulado todoterreno para ser aplicado en la mencionada plataforma. El estudio comprende el análisis de la cinemática y dinámica del vehículo. Una vez obtenidos los modelos cinemáticos y dinámicos, se compara los mismos con los obtenidos para un brazo biarticulado sin vínculo a tierra. Finalmente se adaptan los resultados para simulación computacional la cual fue realizada utilizando el ambiente Gazebo del sistema operativo robótico ROS. A través de esta simulación se pudo comprobar la validez del modelo desarrollado para la plataforma robótica autónoma en operación.

Faculty of Engineering in collaboration with the National Agricultural and Livestock Investigation Institute is developing a low cost platform capable of dealing with challenges imposed by agricultural activities, specifically, fruit transportation inside fields. In this context, the consequent dissertation focuses on the development of a dynamic model of an all terrain articulated autonomous vehicle to be applied in the aforementioned platform. The study includes the kinematic and dynamic analysis of the vehicle. Once those models are deducted, they are put together against the ones obtained for a biarticulated robot arm without ground fixation. To sum up, results will be adapted for computational simulation which was done via Gazebo, an ambience of the robot operating system ROS. Through this simulations it was possible to determine the model validity for the autonomous operating robotic platform. / Facultad de Ingeniería en conjunto con el Instituto Nacional de Investigación Agropecuaria desarrolla una plataforma móvil de bajo costo capaz de enfrentar los retos impuestos por la actividad agrícola, más específicamente, asistencia en el transporte de fruta. Es en este contexto que el presente trabajo se enfoca en desarrollar un modelo dinámico de un vehículo autónomo articulado todoterreno para ser aplicado en la mencionada plataforma. El estudio comprende el análisis de la cinemática y dinámica del vehículo. Una vez obtenidos los modelos cinemáticos y dinámicos, se compara los mismos con los obtenidos para un brazo biarticulado sin vínculo a tierra. Finalmente se adaptan los resultados para simulación computacional la cual fue realizada utilizando el ambiente Gazebo del sistema operativo robótico ROS. A través de esta simulación se pudo comprobar la validez del modelo desarrollado para la plataforma robótica autónoma en operación.

Cette thèse traite du problème de la localisation et de la navigation de robots humanoïdes à bas coût dans un environnement dynamique non contraint. Elle a été réalisée en collaboration entre le laboratoire de robotique CAOR de Mines ParisTech et Aldebaran, dont les robots NAO et Pepper sont utilisés comme plateformes.On verra ici comment il est possible de déduire des informations d'orientation et de position du robot malgré les fortes contraintes de puissance de calcul, de champ de vision et de généricité de l'environnement. L'environnement est représenté sous une forme topologique : les lieux sont stockés dans des nœuds, reliés par des transitions. On apprend l'environnement dans une phase préalable permettant de construire une référence. Les contributions principales de la thèse reposent sur les méthodes de calcul de l'orientation et d'une mesure de position du robot à l'aide des caméras monoculaires à faible champ de vision,et leur intégration dans une structure topologique. Pour se localiser dans le graphe, on utilise principalement les données de vision fournies par les caméras monoculaires du robot, tout en laissant la possibilité de compléter à l'aide de caméras 3D. Les différentes méthodes de localisation sont combinées dans une structure hiérarchique qui permet à la fois d'améliorer la robustesse et de fusionner les données de localisation. Un contrôle de la trajectoire est également mis en place pour permettre d'effectuer de façon fiable les transitions d'un nœud à l'autre, et accessoirement fournir un système de retour pour la marche du robot.Les travaux de cette thèse ont été intégrés dans la suite logicielle d'Aldebaran, et testés intensivement dans différents environnements afin de valider les résultats obtenus et préparer une livraison aux clients. / This thesis covers the topic of low cost humanoid robots localization and navigation in a dynamic unconstrained environment. It is the result of a collaboration between the Centre for Robotics of Mines ParisTech and Aldebaran, whose robots, NAO and Pepper, are used as experimental platforms.We will describe how to derive information on the orientation and the position of the robot, under high constraints on computing power, sensor field of view and environment genericity. The environment is represented using a topological formalism : places are stored in vertices, and connected by transitions. The environment is learned in a preliminary phase, which allows the robot to construct a reference.The main contribution of this PHD thesis lies in orientation and approximate position measurement methods, based on monocular cameras with a restricted field of view, and their integration into a topological structure. To localize the robot in the robot, we use mainly data providing by the monocular cameras of the robot, while also allowing extensions, for example with a 3D camera. The different localization methods are combined into a hierarchical structure, which makes the whole process more robust and merges the estimations. A trajectory control has also been developped in order to transition accurately from one vertex to another, and incidently to provide a feedback on the walk of the robot.The results of this thesis have been integrated into Aldebaran software suite, and thoroughly tested in various conditions, in order to validate the conclusions and prepare a client delivery.

Additionally, we suggest a new formulation for the perspective camera projection matrix. In particular, regarding how the 3 x 3 rotation matrix, R, of the camera should be incorporated into the 3 x 4 camera projection matrix, P. We show that the incorporated rotation should neither be the camera rotation R nor its transpose, but a reversed (left-handed) version of it. The fundamental matrix between a pair of stereo cameras is reformulated more accurately accordingly. This is extremely useful when we want to calculate the fundamental matrix accurately from the stereo camera matrices. It is especially true when the feature correspondences are too few for robust methods, such as RANSAC, to operate. We expect that this new model would have an impact on various applications. / Furthermore, the process of estimating the rotation and translation parameters between a stereo pair from the essential matrix is investigated. This is an essential step for our multi-camera pose estimation method. We show that there are 16 solutions based on the singular value decomposition (not four or eight as previously thought). We also suggest a checking step to ascertain that the proposed algorithm will come up with accurate results. The checking step ensures the accuracy of the fundamental matrix calculated using the pose obtained. This provides a speedy way to calibrate a stereo rig. Our proposed theories are supported by the real and synthetic data experiments reported in this thesis. / In this thesis, we solve the pose estimation problem for robot motion by placing multiple cameras on the robot. In particular, we use four cameras arranged as two back-to-back stereo pairs combined with the Extended Kalman Filter (EKF). The EKF is used to provide a frame by frame recursive solution suitable for the real-time application at hand. The reason for using multiple cameras is that the pose estimation problem is more constrained for multiple cameras than for a single camera. Their use is further justified by the drop in price which is accompanied by the remarkable increase in accuracy. Back-to-back cameras are used since they are likely to have a larger field of view, provide more information, and capture more features. In this way, they are more likely to disambiguate the pose translation and rotation parameters. Stereo information is used in self-initialization and outlier rejection. Simple yet efficient methods have been proposed to tackle the problem of long-sequence drift. Our approaches have been compared, under different motion patterns, to other methods in the literature which use a single camera. Both the simulations and the real experiments show that our approaches are the most robust and accurate among them all as well as fast enough to realize the real-time requirement of robot navigation. / Mohammad Ehab Mohammad Ragab. / "April 2008." / Adviser: K. H. Wong. / Source: Dissertation Abstracts International, Volume: 70-03, Section: B, page: 1763. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (p. 138-148) and index. / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

This paper describes an exercise in building a complete robot aimed at being as small as possible but using off-the-shelf components exclusively. The result is an autonomous mobile robot slightly larger than one cubic inch which incorporates sensing, actuation, onboard computation, and onboard power supplies. Nicknamed Squirt, this robot acts as a 'bug', hiding in dark corners and venturing out in the direction of last heard noises, only moving after the noises are long gone.

This report summarizes the work performed for the design and development of the Proteus research robot. The Proteus design is motivated by the need for a modular, flexible, and usable autonomous robotic platform. To accomplish these goals, a modular hardware architecture coupled with low-power, high-computation processing is presented. The robot is subdivided into three layers: mobility, computation, and application. The interface between layers is characterized by well defined APIs and may be individually replaced to achieve different functionality. An efficient low-level event scheduler is described along with higher-level software algorithms for motion control and navigation. Experiments of Proteus robots are provided including field tests and collaboration with outside research institutions. / text