Control of a mobile platform didactic purposes

Robots are electromechanical machines having ability to perform tasks or actions on some given electronic programming. Line follower robots are mobile robots having ability to follow a line very accurately having an onboard hardwired control circuit. while Omni directional mobile robots have been popularly employed in several applications.This situation brings the idea of omnidirectional robot at manufacturing. Such a robot can respond more quickly and it would be capable of more sophisticated behaviors such as to transport materials and placed on processing machine and outgoing warehouses. This thesis has tried to focus in the control of four wheel omnidirectional mobile robot to be applied to the Factory Lite competition. Four motors are used for governing wheel’s motion. Practical applications of a line follower and odometry will be implemented in this work.Les robots sont des machines électromécaniques capables d'exécuter des tâches ou des actions selon une programmation électronique donnée. Les robots suiveurs de ligne sont des robots mobiles capables de suivre une ligne avec une grande précision grâce à un circuit de contrôle câblé embarqué. Les robots mobiles omnidirectionnels sont couramment utilisés dans plusieurs applications, ce qui amène l'idée d'un robot omnidirectionnel dans la fabrication. Un tel robot peut Un tel robot peut répondre plus rapidement et il serait capable de comportements plus sophistiqués tels que transporter des matériaux et les placer sur des machines de traitement et des entrepôts de sortie. Cette thèse a essayé de se concentrer sur le contrôle d'un robot mobile omnidirectionnel à quatre roues pour être appliqué à la compétition Factory Lite. Quatre moteurs sont utilisés pour gouverner le mouvement des roues. Des applications pratiques d'un suiveur de ligne et d'odométrie seront mises en oeuvre dans ce travail

Marvin: an Innovative Omni-Directional Robotic Assistant for Domestic Environments

Population ageing and pandemics recently demonstrate to cause isolation of elderly people in their houses, generating the need for a reliable assistive figure. Robotic assistants are the new frontier of innovation for domestic welfare, and elderly monitoring is one of the services a robot can handle for collective well-being. Despite these emerging needs, in the actual landscape of robotic assistants there are no platform which successfully combines a reliable mobility in cluttered domestic spaces, with lightweight and offline Artificial Intelligence (AI) solutions for perception and interaction. In this work, we present Marvin, a novel assistive robotic platform we developed with a modular layer-based architecture, merging a flexible mechanical design with cutting-edge AI for perception and vocal control. We focus the design of Marvin on three target service functions: monitoring of elderly and reduced-mobility subjects, remote presence and connectivity, and night assistance. Compared to previous works, we propose a tiny omnidirectional platform, which enables agile mobility and effective obstacle avoidance. Moreover, we design a controllable positioning device, which easily allows the user to access the interface for connectivity and extends the visual range of the camera sensor. Nonetheless, we delicately consider the privacy issues arising from private data collection on cloud services, a critical aspect of commercial AI-based assistants. To this end, we demonstrate how lightweight deep learning solutions for visual perception and vocal command can be adopted, completely running offline on the embedded hardware of the robot.Comment: 20 pages, 9 figures, 3 tabl

Indoor Navigation and Manipulation using a Segway RMP

This project dealt with a Segway RMP, utilizing it in an assistive-technology manner, encompassing navigation and manipulation aspects of robotics. First, background research was conducted to develop a blueprint for the robot. The hardware, software, and configuration of the RMP was updated, and a robotic arm was designed to extend the RMP’s capabilities. The robot was programmed to accomplish autonomous multi-floor navigation through the use of the navigation stack in ROS, image detection, and a GUI. The robot can navigate through the hallways of the building utilizing the elevator. The robotic arm was designed to accomplish tasks such as pressing a button and picking an object up off of a table. The Segway RMP is designed to be utilized and expanded upon as a robotics research platform

Master of Science

thesisThe objective of this research is to improve the ability of a human operator to drive an omnidirectional robot by using omnidirectional force-feedback. Omnidirectional vehicles offer improved mobility over conventional vehicles and can potentially benefit people requiring motorized transportation and industries where vehicles must operate in confined spaces. However, omnidirectional vehicles require more skill to control due to the additional degrees of freedom inherent in the vehicle’s design. We hypothesize that providing force-feedback to the driver through an omnidirectional joystick will allow the robot to assist the driver in navigating and avoiding collisions with obstacles in a manner that is natural to the operator. This research is the first attempt to use true omnidirectional 3-DOF (degree of freedom) force-feedback to provide navigational assistance for a human to drive an omnidirectional vehicle. While 2-DOF force-feedback has been used in a limited capacity for obstacle avoidance on omnidirectional vehicles, this is the first study to include a third rotational axis of force-feedback and use it to guide a driver along planar collision-avoiding trajectories with a natural coordination of orientation. Unique intellectual merits put forth by this research include use of a novel omnidirectional haptic device and force-feedback strategies to guide operators and experiments to quantify the ability of force-feedback to improve omnidirectional driving performance and driver experience in a real time scenario

Hospital evacuation planning tool for assistance devices (HEPTAD)

A new software tool, called HEPTAD (Hospital Evacuation Planning Tool for Assistance Devices), designed to aid evacuation planning in hospitals is described and demonstrated in this paper. The software can identify regions within a hospital geometry that are inappropriate for patients who require the use of specific movement assistance devices in the event of an emergency evacuation. Using the software, Hospital Emergency Coordinators can reduce the risk of allocating a bed to a patient from which they cannot be evacuated within a safe time. In addition, HEPTAD is designed to be a proof of concept for algorithms that will later be incorporated within the EXODUS egress model. HEPTAD utilises several techniques from autonomous robotics to generate the fastest viable egress route for movement assistance devices from every location in the geometry while considering device spatial constraints (size and shape) and kinematic constraints (maximum speeds, turning radius and holonomicity). It then uses the egress time of this route along with factors from space syntax (isovist and spaciousness) to analyse the emergency vulnerability of every location within the geometry

Rehabilitation Engineering

Population ageing has major consequences and implications in all areas of our daily life as well as other important aspects, such as economic growth, savings, investment and consumption, labour markets, pensions, property and care from one generation to another. Additionally, health and related care, family composition and life-style, housing and migration are also affected. Given the rapid increase in the aging of the population and the further increase that is expected in the coming years, an important problem that has to be faced is the corresponding increase in chronic illness, disabilities, and loss of functional independence endemic to the elderly (WHO 2008). For this reason, novel methods of rehabilitation and care management are urgently needed. This book covers many rehabilitation support systems and robots developed for upper limbs, lower limbs as well as visually impaired condition. Other than upper limbs, the lower limb research works are also discussed like motorized foot rest for electric powered wheelchair and standing assistance device

Special oils for halal and safe cosmetics

Three types of non conventional oils were extracted, analyzed and tested for toxicity. Date palm kernel oil (DPKO), mango kernel oil (MKO) and Ramputan seed oil (RSO). Oil content for tow cultivars of dates Deglect Noor and Moshkan was 9.67% and 7.30%, respectively. The three varieties of mango were found to contain about 10% oil in average. The red yellow types of Ramputan were found to have 11 and 14% oil, respectively. The phenolic compounds in DPKO, MKO and RSO were 0.98, 0.88 and 0.78 mg/ml Gallic acid equivalent, respectively. Oils were analyzed for their fatty acid composition and they are rich in oleic acid C18:1 and showed the presence of (dodecanoic acid) lauric acid C12:0, which reported to appear some antimicrobial activities. All extracted oils, DPKO, MKO and RSO showed no toxic effect using prime shrimp bioassay. Since these oils are stable, melt at skin temperature, have good lubricity and are great source of essential fatty acids; they could be used as highly moisturizing, cleansing and nourishing oils because of high oleic acid content. They are ideal for use in such halal cosmetics such as Science, Engineering and Technology 75 skin care and massage, hair-care, soap and shampoo products