The commercial exoskeletons are often heavy and bulky, thus reducing the weight and simplifying the form factor becomes a critical task. This thesis details the process of designing and making a low-profile, cable-driven arm exoskeleton. Many advanced methods are explored: 3D scanning, generative design, soft material, compliant joint, additive manufacturing, and 3D latticing. The experiments on TPU kerf cut found that the stress-strain curve of the sample can be modified by changing the cut pattern, it is even possible to control the linear region. The TPU TPMS test showed that given the same volume, changing the lattice parameters can result in different bending stress-strain curves. This thesis also provides many prototypes, test data, and samples for future reference. / Master of Science / Wearing an exoskeleton should be easy and stress-free, but many of the available models are not ergonomic nor user-friendly. To make an exoskeleton that is inviting and comfortable to wear, various nontraditional methods are used. The arm exoskeleton prototype has a lightweight and ergonomic frame, the joints are soft and compact, the cable-driven system is safe and low-profile. This design also brings aesthetics to the exoskeleton which closes the gap between engineering and design.

Exoskeletons show great promise in aiding people in a wide range of applications. One such application is medical rehabilitation and assistance of those with spinal cord injuries. Exoskeletons have the potential to offer several benefits over wheelchairs, including a reduction in the risk of upper-body injuries associated with extended wheelchair use. To fully mitigate this risk of injury, exoskeletons will need to be fully self-balancing, able to move and stand without crutches or other walking aid. To accomplish this, the Orthotic Lower-body Locomotion Exoskeleton (OLL-E) will actuate 12 Degrees of Freedom, six in each leg, using custom design linear series elastic actuators. The placement of these actuators relative to each joint axis, and the geometry of the linkage connecting them, were critical to ensuring each joint was capable of producing the required outputs for self-balancing locomotion. In pursuit of this goal, a general model was developed, relating the actuator's position and linkage geometry to the actual joint output over its range of motion. This model was then adapted for each joint in the legs and compared against the required outputs for humans and robots moving through a variety of gaits. This process allowed for the best placement of the actuator and linkages within the design constraints of the exoskeleton. The structure of the exoskeleton was then designed to maintain the desired geometry while meeting several other design requirements such as weight, adjustability, and range of motion. Adjustability was a key factor for ensuring the comfortable use of the exoskeleton and to minimize risk of injury by aligning the exoskeleton joint axes as close as possible to the wearer's joints. The legs of OLL-E can accommodate users between 1.60 m and 2.03 m in height while locating the exoskeleton joint axes within 2 mm of the user's joints. After detailed design was completed, analysis showed that the legs met all long-term goals of the exoskeleton project. / Master of Science / Exoskeletons show great promise in aiding people in a wide range of applications. One such application is medical rehabilitation and assistance of those with spinal cord injuries. Exoskeletons have the potential to offer several benefits over wheelchairs, including a reduction in the risk of upper-body injuries associated with extended wheelchair use. To best reduce this risk of injury, exoskeletons will need to be fully self-balancing, able to move and stand without crutches or relying on any other outside structure to stay upright. To accomplish this, the Orthotic Lower-body Locomotion Exoskeleton (OLL-E) will use a set of custom designed motors to apply power and control to 12 joints, six in each leg. Where these motors were placed, and how they connect to the joints they control, were critical to ensuring the exoskeleton was able to self-balance, walk, and climb stairs. To find the correct position, a set of equations was developed to determine how different positions changed each joints’ speed, strength, and range of motion. These equations were then put into a piece of custom software that could quickly evaluate different joint layouts and compare the capabilities against measurements from people and robots walking, climbing stairs, and standing up out of a chair. This process allowed for the best placement of the motors and joints while still keeping the exoskeleton relatively compact. The rest of the exoskeleton was then designed to connect these joints together, while meeting several other design requirements such as weight, adjustability, and range of motion. Adjustability was very important for ensuring the comfortable use of the exoskeleton and to minimize risk of injury by ensuring that the exoskeleton legs closely matched the movements of the person inside. The legs of OLL-E can accommodate users between 1.60 m and 2.03 m in increments of 7 mm. After detailed design was completed, additional analyses were performed to check the strength of the structure and ensure it met other long-term goals of the project.

Controlling an exoskeleton glove with a highly efficient human-machine interface (HMI), while accurately applying force to each joint remains a hot topic. This paper proposes a fast, secure, accurate, and portable solution to control an exoskeleton glove. This state of the art solution includes both hardware and software components. The exoskeleton glove uses a modified serial elastic actuator (SEA) to achieve accurate force sensing. A portable electronic system is designed based on the SEA to allow force measurement, force application, slip detection, cloud computing, and a power supply to provide over 2 hours of continuous usage. A voice-control-based HMI referred to as the integrated trigger-word configurable voice activation and speaker verification system (CVASV), is integrated into a robotic exoskeleton glove to perform high-level control. The CVASV HMI is designed for embedded systems with limited computing power to perform voice-activation and voice-verification simultaneously. The system uses MobileNet as the feature extractor to reduce computational cost. The HMI is tuned to allow better performance in grasping daily objects. This study focuses on applying the CVASV HMI to the exoskeleton glove to perform a stable grasp with force-control and slip-detection using SEA based exoskeleton glove. This research found that using MobileNet as the speaker verification neural network can increase the speed of processing while maintaining similar verification accuracy. / Master of Science / The robotic exoskeleton glove used in this research is designed to help patients with hand disabilities. This thesis proposes a voice-activated grasping system to control the exoskeleton glove. Here, the user can use a self-defined keyword to activate the exoskeleton and use voice to control the exoskeleton. The voice command system can distinguish between different users' voices, thereby improving the safety of the glove control. A smartphone is used to process the voice commands and send them to an onboard computer on the exoskeleton glove. The exoskeleton glove then accurately applies force to each fingertip using a force feedback actuator.This study focused on designing a state of the art human machine interface to control an exoskeleton glove and perform an accurate and stable grasp.

Exoskeletons and humanoid robots require high-power, low-weight, and back-driveable actuators. This paper describes the design and analysis of a high-force linear series elastic actuator for a lower body exoskeleton. The actuator is powered by two motors and utilize a liquid cooling system to increase its maximum continuous torque. The actuator is capable of outputting a maximum continuous force of 4800N and a maximum speed of 0.267 m/s with a maximum continuous motor current of 18A. The Titanium leaf spring was used in the actuator to provide compliance. The spring has a median stiffness of 587 N/mm with standard deviation of 38 N/mm, validated by experiments. Dynamic model was created to analyze the normal modes and can be used for developing model-based controllers. / Master of Science / Compliant Linear actuators with ball screw have become popular for humanoids robots and exoskeleton. The use of ball screw lead to high efficiency, high gear ratio and high back-drivability. The compliance or the ''softness'' of the actuator comes from Titanium leaf spring, which can storage energy during gait cycle and protect motor and the ball screw from impacts of walking. The custom liquid cooling system improves the force density for the actuator. Beam theory analysis, heat transfer analysis, and dynamics analysis were performed to provides insights for the actuator system.

Patients suffering from brachial plexus injury or other spinal cord related injuries often lose their hand functionality. They need a device which can help them to perform day to day activities by restoring some form of functionality to their hands. A popular solution to this problem are robotic exoskeletons, mechanical devices that help in actuating the fingers of the patients, enabling them to grasp objects and perform other daily life activities. This thesis presents the design of a novel exoskeleton glove which is controlled by a neural network-based controller. The novel design of the glove consists of rigid double four-bar linkage mechanisms actuated through series elastic actuators (SEAs) by DC motors. It also contains a novel rotary series elastic actuator (RSEA) which uses a torsion spring to measure torque, passive abduction and adduction mechanisms, and an adjustable base. To make the exoskeleton glove grasp objects, it also needs to have a robust controller which can compute forces that needs to be applied through each finger to successfully grasp an object. The neural network is inspired from the way human hands can grasp a wide variety of objects with ease. Fingertip forces were recorded from a normal human grasping objects at different orientations. This data was used to train the neural network with a R2 value of 0.81. Once the grasp is initiated by the user, the neural network takes inputs like orientation, weight, and size of the object to estimate the force required in each of the five digits to grasp an object. These forces are then applied by the motors through the SEA and linkage mechanisms to successfully grasp an object autonomously. / Master of Science / Humans are one of the few species to have an opposable thumb which allows them to not only perform tasks which require power, but also tasks which require precision. However, unfortunately, thousands of people in the United States suffer from hand disabilities which hinder them in performing basic tasks. The RML glove v3 is a robotic exoskeleton glove which can help these patients in performing day to day activities like grasping semi-autonomously. The glove is lightweight and comfortable to use. The RML glove v3 uses a neural network based controller to predict the grasp force required to successfully grasp objects. After the user provides the required input, the glove estimates the object size and uses other inputs like object orientation and weight to estimate the grasp force in each finger linkage mechanism. The motors then drive the linkages till the required force is achieved on the fingertips and the grasp is completed.

Humans use their hands on a daily basis, and they are a fundamental part of our lives both in terms of our work and our everyday activities. One of the key things that our hands allow us to do is grab onto objects. Unfortunately however, sometimes this ability to grab onto things becomes weakened, for example due to old age or diseases such as arthritis. This project was aimed to see if mechatronic engineering could be implemented to remedy this problem, while maintaining good accessibility and design. The resulting solution was a glove with pressure sensors and an integrated pulley system, which would provide a pulling force on the fingers and allow the user to get a reinforced grip on objects. A key factor in this design was to provide adequate function, without compromising form, i.e making the glove easy to wear and not clunky. The resulting glove provided substantial support to the test subjects grip strength, and presented a valid way to counteract their weekend state. However, the form was still considered too clunky and not efficient enough to warrant daily use. For future work, alternative pulley systems might be a valid option to slim down the glove and make it more accessible. Collaborating with people from the mechatronics industry, specifically those geared towards human augmentation, may also be beneficial to those with lacking experience or connections in the subject area. Conducting research specifically about what is considered “easy to use” may also be necessary to further solidify any changes in design. / Människor använder sina händer vardagligen, och de är en fundamental del av våra liv vad gäller både vardagssysslor och arbete. En av de viktigaste funktionerna våra händer utgör är att de tillåter oss att greppa tag i saker. Tyvärr händer det dock att denna förmåga försvagas exempelvis på grund av ålder eller sjukdomar såsom artros. Detta projekt var ämnat att se om en mekatronisk lösning kunde användas för att åtgärda detta problem, utan att göra uppoffringar vad gäller enkel design och tydlig form. Resultatet var en handske med trycksensorer och en integrerad motor som erbjöd en dragande kraft i fingrarna och ett förstärkt grepp. Den resulterande handsken erbjöd tillfredsställande support till testpersonerna greppstyrka och visade sig vara en rimlig lösning på de problem som individens artros ställt till med. Dessvärre ansågs formen fortfarande lite för otymplig och svårhanterad för att tillfredsställa önskemålen i den aspekten. För fortsatt arbete kan en annorlunda integration av motorn vara ett rimligt alternativ för att slimma ner handsken. Samarbete med företag inom robotik och mänskliga proteser kan också vara gynnsamt, speciellt för de med liten erfarenhet eller med fåtal kontakter inom testområdet. Tydligare efterforskning på vad som är “enkelt att använda” kan också leda designen i en bättre riktning.

Le nombre croissant de personnes âgées dans le monde exige de relever de nouveaux défis sociétaux, notamment en termes de services d'aide et de soins de santé. Avec les récents progrès technologiques, la robotique apparaît comme une solution prometteuse pour développer des systèmes visant à faciliter et améliorer les conditions de vie de cette population. Cette thèse vise la proposition et la validation d'une approche de commande robuste et référencée intention d'une orthèse active, destinée à assister des mouvements de flexion/extension du genou pour des personnes souffrant de pathologies de cette articulation. La commande par modes glissants d'ordre 2 que nous proposons permet de prendre en compte les non-linéarités ainsi que les incertitudes paramétriques résultant de la dynamique du système équivalent orthèse-membre inférieur. Elle permet également de garantir d'une part, un bon suivi de la trajectoire désirée imposée par le thérapeute ou par le sujet lui-même, et d'autre part, une bonne robustesse vis-à-vis des perturbations externes pouvant se produire lors des mouvements de flexion/extension. Dans cette thèse, nous proposons également un modèle neuronal de type Perceptron Multi-Couches pour l'estimation de l'intention du sujet à partir de la mesure des signaux EMG caractérisant les activités musculaires volontaires du groupe musculaire quadriceps. Cette approche permet de s'affranchir d'un modèle d'activation et de contraction musculaire complexe. L'ensemble des travaux a été validé expérimentalement avec la participation volontaire de plusieurs sujets valides / The increasing number of elderly in the world reveals today new societal challenges, particularly in terms of healthcare and assistance services. With recent advances in technology, robotics appears as a promising solution to develop systems that improve the living conditions of this aging population. This thesis aims at proposing and validating an approach for robust control of an active orthosis, based on the subject intention. This orthosis is designed to assist flexion/ extension movements of the knee for people suffering from knee joint deficiencies. The proposed second order sliding mode control allows to take into account the nonlinearities and parametric uncertainties resulting from the dynamics of the equivalent lower limb-orthosis system. It also ensures on one hand, a good tracking performance of the desired trajectory imposed by the therapist or the subject itself, and on the second hand, a satisfactory robustness with respect to external disturbances that may occur during flexion and extension of the knee joint. In this thesis, a neural model based on Multi-Layer Perceptron is used to estimate the subject's intention from the measurement of the EMG signals characterizing the voluntary activities of the quadriceps muscle group. This approach overcomes the complex modeling of the muscular activation and contraction dynamics. All the proposed approaches in this thesis have been validated experimentally with the voluntary participation of several healthy subjects

Quel que soit le type d'exosquelettes de jambes, la question d’équilibre du système est très importante, puisqu'il s'agit de robots physiquement attachés à l'utilisateur. Dans le but de respecter au maximum la volonté de l'utilisateur ainsi que ses mouvements, cette thèse a pour objectif de développer des stratégies de commande de gestion d'équilibre pour un exosquelette d’assistance. Il s'agit alors d'assister l'équilibre du système couplé (utilisateur valide + exosquelette), en gérant l'équilibre de l'exosquelette soumis à l'action de l'utilisateur. La commande de gestion d'équilibre proposée s'inspire des commandes développées par le CEA-LIST sur les exosquelettes Hercule et des stratégies de récupération d'équilibre observées chez l'humain. Elle est essentiellement basée sur le concept du point de capture instantané. En effet,le point de capture instantané est un bon outil qui englobe aussi bien le cas statique que le cas dynamique et surtout, qui contient une information sur la direction de mouvement, ce qui nous permet d'anticiper certaines actions comme l'action de faire un pas. Les contributions de cette thèse sont alors :• l'application d'une commande du point de capture à un exosquelette d'assistance ;• la proposition d'une nouvelle répartition des efforts sur les deux jambes de l'exosquelette permettant d'anticiper les perturbations et le pas ;• la gestion du sous-actionnement (toutes les articulations ne sont pas motorisées) en phase de double support via un calcul d'optimisation qui a pour objectif de suivre la répartition des efforts désirée et de maîtriser les forces d'interaction entre l'utilisateur et l'exosquelette. / The postural stability of leg exoskeletons, no matter their purposes (medical, military or civil), is a real issue since the user is fastened to them. Indeed, in order to respect the will of the user and his movements to the maximum, we have to study the system balance. Therefore, the purpose of this thesis is to develop balance strategies for a leg exoskeleton designed for industrial applications such as static work. It is about assisting the balance of the coupled system (user +exoskeleton) by dealing with the exoskeleton’s balance subjected to the user’s action. We present a balance control which is inspired by control methods developed by CEA-LIST for the Hercule exoskeleton, as well as by human balance strategies. It is mainly based on the instantaneous capture point concept. The first contribution of this thesis is the application of a classical instantaneous capture point control to a leg exoskeleton that assists a user. The user’s intention is first detected through the position of the instantaneous capture point and the assistance provided by the exoskeleton differs. The second contribution focuses on how we candistribute the effort to the legs. The experience of the «Master-Slave » control of CEA-LIST showed that the main difficulty, for a user, is to handle the weight transfer in order to take the swing leg off and make a step. We suggest a newleg distribution, that is able to anticipate a step. The last contribution is related to the underactuation of the exoskeleton in the double support phase. We propose an optimization algorithm that aims at following the leg distribution, and at managing the interaction forces between the user and the exoskeleton.

Com os avanços significativos no campo da medicina, cada vez mais a tecnologia robótica vem sendo empregada no tratamento de indivíduos que sofreram alguma deficiência física. Esta dissertação apresenta o desenvolvimento de um Atuador Elástico em Série Compacto, aqui denominado AESC, e suas possíveis utilizações no campo da reabilitação robótica. Os controles implementados foram: Controle de Posição, Controle de Força e Controle de Impedância. Atuadores elásticos em série são utilizados, pois tais dispositivos apresentam características ideais para a utilização em equipamentos voltados à reabilitação: impedância controlável possibilidade de impedância baixa), baixo atrito e largura de banda que se aproxima do padrão de movimento humano. Aplicações do AESC para reabilitação de indivíduos que tenham sofrido lesão cerebral ou lesões ortopédicas e traumatológicas são apresentadas. Elas se mostram como um recurso para incrementar a reabilitação relacionada ao ganho de força muscular do tornozelo, bem como aumento da amplitude de movimento. A Plataforma Robótica de Reabilitação de Tornozelo utiliza uma interface baseada em jogos para o auxílio da reabilitação, tornando o processo mais lúdico estimulando a aprendizagem. O Exoesqueleto para Membros Inferiores simula o caminhar humano, auxiliando pessoas que tenham sofrido Acidente Vascular Encefálico. / With significant advances in the medical field, more and more robotic technology has been used to treat individuals who have suffered a physical disability. This dissertation presents the development of a Compact Series Elastic Actuator, named here as AESC, and its possible uses on the field of robotic rehabilitation. The controls types implemented include: Position Control, Force Control and Impedance Control. Series elastic actuators are used because such devices have ideal characteristics for use in equipments for rehabilitation: controllable impedance (possibility of low impedance), low friction and bandwidth that approaches the human movement. Applications of the AESC for rehabilitation of individuals who have suffered brain or orthopedic damages are presented. They appear as a resource to enhance the rehabilitation related to gain in muscle strength of the ankle muscles, as well as to increase the range of motion. The Robotic Platform of Ankle Rehabilitation uses a game-based interface for rehabilitation, to make the rehabilitation process more playful. The Exoskeleton for Lower Limbs simulates human walking, helping people who have suffered stroke.

Human machine interface has been a growing field of scientific research for the last years. Conventional robots have been conceived as rigid metallic structures and, when metal meets human tissue, it is necessary to break the mindset in order to achieve better interaction. Exoskeletons, often called wearable robots, shares the same challenges with applications ranging from industry, to military, medicine and entertainment. This work introduces a systematic design of a development platform for exoskeleton research supported by Requirement Engineering and implemented through prototyping. The dynamics of the human joint and the robotic joint are modelled with different couplings between them. A Model Reference Adaptive Control is proposed as a solution for exoskeleton control and simulations indicate that it is capable of estimating human joint parameters in real time. The Model Reference controller is implemented, with successful modulation of the robotic joint apparent impedance. From a practical perspective, we present the design and construction of an experimental workbench and the use of an on-line repository for the control software development. The on-line repository results in a viable way for collaborative project management, software versioning and scientific contribution. The experimental workbench which was designed to meet the stakeholders needs - the university, patients and therapists - being of modular application, easy to operate and relatively low cost, can be used to conduct motor control experiments and rehabilitation tasks. / Interface homem e máquina tem sido um campo crescente de pesquisa científica nos últimos anos. Robôs convencionais têm sido concebidos como estruturas metálicas rígidas que, quando em contato com o tecido humano, faz necessário romper com o modo de pensar corrente para atingir uma melhor interação. Exoesqueletos, chamados também de robôs vestíveis, compartilham destes desafios e abrangem aplicação na indústria, militar, medicina e entretenimento. Este trabalho introduz uma abordagem sistemática, baseada em Engenharia de Requisitos e Prototipagem, para projeto de uma plataforma de desenvolvimento para pesquisa em exoesqueletos. A dinâmica da junta humana e da junta robótica são modeladas para diferentes acoplamentos entre si. O Controle Adaptativo por Modelo de Referência é proposto como uma solução para controle de exoesqueletos; simulações indicam ser capaz de estimar os parâmetros da junta humana em tempo real. O controlador por Modelo de Referência foi implementado, tendo sucesso na modulação da impedância aparente da junta robótica. De uma perspectiva mais prática, é apresentado o projeto e construção de uma bancada experimental e o uso de um repositório online para desenvolvimento do software de controle. O repositório on-line viabiliza gestão de projetos colaborativos, focado em versionamento de software e contribuição científica. A bancada experimental foi projetada para atender as necessidades de diferentes stakeholders - a universidade, os pacientes e terapeutas - sendo de aplicação modular, de fácil operação e relativo baixo custo, é capaz de conduzir experimentos de controle motor e tarefas de reabilitação.