39 research outputs found
A Common Digital Twin Platform for Education, Training and Collaboration
The world is in transition driven by digitalization; industrial companies and educational institutions are adopting Industry 4.0 and Education 4.0 technologies enabled by digitalization. Furthermore, digitalization and the availability of smart devices and virtual environments have evolved to pro- duce a generation of digital natives. These digital natives whose smart devices have surrounded them since birth have developed a new way to process information; instead of reading literature and writing essays, the digital native generation uses search engines, discussion forums, and on- line video content to study and learn. The evolved learning process of the digital native generation challenges the educational and industrial sectors to create natural training, learning, and collaboration environments for digital natives.
Digitalization provides the tools to overcome the aforementioned challenge; extended reality and digital twins enable high-level user interfaces that are natural for the digital natives and their interaction with physical devices. Simulated training and education environments enable a risk-free way of training safety aspects, programming, and controlling robots. To create a more realistic training environment, digital twins enable interfacing virtual and physical robots to train and learn on real devices utilizing the virtual environment. This thesis proposes a common digital twin platform for education, training, and collaboration. The proposed solution enables the teleoperation of physical robots from distant locations, enabling location and time-independent training and collaboration in robotics.
In addition to teleoperation, the proposed platform supports social communication, video streaming, and resource sharing for efficient collaboration and education. The proposed solution enables research collaboration in robotics by allowing collaborators to utilize each other’s equipment independent of the distance between the physical locations. Sharing of resources saves time and travel costs. Social communication provides the possibility to exchange ideas and discuss research. The students and trainees can utilize the platform to learn new skills in robotic programming, controlling, and safety aspects.
Cybersecurity is considered from the planning phase to the implementation phase. Only cybersecure methods, protocols, services, and components are used to implement the presented platform. Securing the low-level communication layer of the digital twins is essential to secure the safe teleoperation of the robots. Cybersecurity is the key enabler of the proposed platform, and after implementation, periodic vulnerability scans and updates enable maintaining cybersecurity. This thesis discusses solutions and methods for cyber securing an online digital twin platform.
In conclusion, the thesis presents a common digital twin platform for education, training, and collaboration. The presented solution is cybersecure and accessible using mobile devices. The proposed platform, digital twin, and extended reality user interfaces contribute to the transitions to Education 4.0 and Industry 4.0
Acoustic-based Smart Tactile Sensing in Social Robots
Mención Internacional en el título de doctorEl sentido del tacto es un componente crucial de la interacción social humana y es único
entre los cinco sentidos. Como único sentido proximal, el tacto requiere un contacto
físico cercano o directo para registrar la información. Este hecho convierte al tacto en
una modalidad de interacción llena de posibilidades en cuanto a comunicación social. A través
del tacto, podemos conocer la intención de la otra persona y comunicar emociones. De esta
idea surge el concepto de social touch o tacto social como el acto de tocar a otra persona en
un contexto social. Puede servir para diversos fines, como saludar, mostrar afecto, persuadir
y regular el bienestar emocional y físico.
Recientemente, el número de personas que interactúan con sistemas y agentes artificiales
ha aumentado, principalmente debido al auge de los dispositivos tecnológicos, como los smartphones
o los altavoces inteligentes. A pesar del auge de estos dispositivos, sus capacidades de
interacción son limitadas. Para paliar este problema, los recientes avances en robótica social han
mejorado las posibilidades de interacción para que los agentes funcionen de forma más fluida y
sean más útiles. En este sentido, los robots sociales están diseñados para facilitar interacciones
naturales entre humanos y agentes artificiales. El sentido del tacto en este contexto se revela
como un vehículo natural que puede mejorar la Human-Robot Interaction (HRI) debido a su
relevancia comunicativa en entornos sociales. Además de esto, para un robot social, la relación
entre el tacto social y su aspecto es directa, al disponer de un cuerpo físico para aplicar o recibir
toques.
Desde un punto de vista técnico, los sistemas de detección táctil han sido objeto recientemente
de nuevas investigaciones, sobre todo dedicado a comprender este sentido para crear sistemas
inteligentes que puedan mejorar la vida de las personas. En este punto, los robots sociales
se han convertido en dispositivos muy populares que incluyen tecnologías para la detección
táctil. Esto está motivado por el hecho de que un robot puede esperada o inesperadamente
tener contacto físico con una persona, lo que puede mejorar o interferir en la ejecución de sus
comportamientos. Por tanto, el sentido del tacto se antoja necesario para el desarrollo de aplicaciones
robóticas. Algunos métodos incluyen el reconocimiento de gestos táctiles, aunque
a menudo exigen importantes despliegues de hardware que requieren de múltiples sensores. Además, la fiabilidad de estas tecnologías de detección es limitada, ya que la mayoría de ellas
siguen teniendo problemas tales como falsos positivos o tasas de reconocimiento bajas. La detección
acústica, en este sentido, puede proporcionar un conjunto de características capaces de
paliar las deficiencias anteriores. A pesar de que se trata de una tecnología utilizada en diversos
campos de investigación, aún no se ha integrado en la interacción táctil entre humanos y robots.
Por ello, en este trabajo proponemos el sistema Acoustic Touch Recognition (ATR), un sistema
inteligente de detección táctil (smart tactile sensing system) basado en la detección acústica
y diseñado para mejorar la interacción social humano-robot. Nuestro sistema está desarrollado
para clasificar gestos táctiles y localizar su origen. Además de esto, se ha integrado en plataformas
robóticas sociales y se ha probado en aplicaciones reales con éxito. Nuestra propuesta
se ha enfocado desde dos puntos de vista: uno técnico y otro relacionado con el tacto social.
Por un lado, la propuesta tiene una motivación técnica centrada en conseguir un sistema táctil
rentable, modular y portátil. Para ello, en este trabajo se ha explorado el campo de las tecnologías
de detección táctil, los sistemas inteligentes de detección táctil y su aplicación en HRI. Por
otro lado, parte de la investigación se centra en el impacto afectivo del tacto social durante la
interacción humano-robot, lo que ha dado lugar a dos estudios que exploran esta idea.The sense of touch is a crucial component of human social interaction and is unique
among the five senses. As the only proximal sense, touch requires close or direct physical
contact to register information. This fact makes touch an interaction modality
full of possibilities regarding social communication. Through touch, we are able to ascertain
the other person’s intention and communicate emotions. From this idea emerges the concept
of social touch as the act of touching another person in a social context. It can serve various purposes,
such as greeting, showing affection, persuasion, and regulating emotional and physical
well-being.
Recently, the number of people interacting with artificial systems and agents has increased,
mainly due to the rise of technological devices, such as smartphones or smart speakers. Still,
these devices are limited in their interaction capabilities. To deal with this issue, recent developments
in social robotics have improved the interaction possibilities to make agents more seamless
and useful. In this sense, social robots are designed to facilitate natural interactions between
humans and artificial agents. In this context, the sense of touch is revealed as a natural interaction
vehicle that can improve HRI due to its communicative relevance. Moreover, for a social
robot, the relationship between social touch and its embodiment is direct, having a physical
body to apply or receive touches.
From a technical standpoint, tactile sensing systems have recently been the subject of further
research, mostly devoted to comprehending this sense to create intelligent systems that can
improve people’s lives. Currently, social robots are popular devices that include technologies
for touch sensing. This is motivated by the fact that robots may encounter expected or unexpected
physical contact with humans, which can either enhance or interfere with the execution
of their behaviours. There is, therefore, a need to detect human touch in robot applications.
Some methods even include touch-gesture recognition, although they often require significant
hardware deployments primarily that require multiple sensors. Additionally, the dependability
of those sensing technologies is constrained because the majority of them still struggle with issues
like false positives or poor recognition rates. Acoustic sensing, in this sense, can provide a
set of features that can alleviate the aforementioned shortcomings. Even though it is a technology that has been utilised in various research fields, it has yet to be integrated into human-robot
touch interaction.
Therefore, in thiswork,we propose theATRsystem, a smart tactile sensing system based on
acoustic sensing designed to improve human-robot social interaction. Our system is developed
to classify touch gestures and locate their source. It is also integrated into real social robotic platforms
and tested in real-world applications. Our proposal is approached from two standpoints,
one technical and the other related to social touch. Firstly, the technical motivation of thiswork
centred on achieving a cost-efficient, modular and portable tactile system. For that, we explore
the fields of touch sensing technologies, smart tactile sensing systems and their application in
HRI. On the other hand, part of the research is centred around the affective impact of touch
during human-robot interaction, resulting in two studies exploring this idea.Programa de Doctorado en Ingeniería Eléctrica, Electrónica y Automática por la Universidad Carlos III de MadridPresidente: Pedro Manuel Urbano de Almeida Lima.- Secretaria: María Dolores Blanco Rojas.- Vocal: Antonio Fernández Caballer
Knowledge Modelling and Learning through Cognitive Networks
One of the most promising developments in modelling knowledge is cognitive network science, which aims to investigate cognitive phenomena driven by the networked, associative organization of knowledge. For example, investigating the structure of semantic memory via semantic networks has illuminated how memory recall patterns influence phenomena such as creativity, memory search, learning, and more generally, knowledge acquisition, exploration, and exploitation. In parallel, neural network models for artificial intelligence (AI) are also becoming more widespread as inferential models for understanding which features drive language-related phenomena such as meaning reconstruction, stance detection, and emotional profiling. Whereas cognitive networks map explicitly which entities engage in associative relationships, neural networks perform an implicit mapping of correlations in cognitive data as weights, obtained after training over labelled data and whose interpretation is not immediately evident to the experimenter. This book aims to bring together quantitative, innovative research that focuses on modelling knowledge through cognitive and neural networks to gain insight into mechanisms driving cognitive processes related to knowledge structuring, exploration, and learning. The book comprises a variety of publication types, including reviews and theoretical papers, empirical research, computational modelling, and big data analysis. All papers here share a commonality: they demonstrate how the application of network science and AI can extend and broaden cognitive science in ways that traditional approaches cannot
Multi-Robot Systems: Challenges, Trends and Applications
This book is a printed edition of the Special Issue entitled “Multi-Robot Systems: Challenges, Trends, and Applications” that was published in Applied Sciences. This Special Issue collected seventeen high-quality papers that discuss the main challenges of multi-robot systems, present the trends to address these issues, and report various relevant applications. Some of the topics addressed by these papers are robot swarms, mission planning, robot teaming, machine learning, immersive technologies, search and rescue, and social robotics
Emerging Technologies
This monograph investigates a multitude of emerging technologies including 3D printing, 5G, blockchain, and many more to assess their potential for use to further humanity’s shared goal of sustainable development. Through case studies detailing how these technologies are already being used at companies worldwide, author Sinan Küfeoğlu explores how emerging technologies can be used to enhance progress toward each of the seventeen United Nations Sustainable Development Goals and to guarantee economic growth even in the face of challenges such as climate change. To assemble this book, the author explored the business models of 650 companies in order to demonstrate how innovations can be converted into value to support sustainable development. To ensure practical application, only technologies currently on the market and in use actual companies were investigated. This volume will be of great use to academics, policymakers, innovators at the forefront of green business, and anyone else who is interested in novel and innovative business models and how they could help to achieve the Sustainable Development Goals. This is an open access book
TECHNOLOGY STRATEGY FOR DEVELOPING THE ASSISTIVE ROBOTICS MARKET
Robotics has increased productivity in industries such as manufacturing, defence and construction but less so in healthcare where, despite the pressures from demographic changes, barriers to the adoption of assistive robotics (AR) persist. Due to the cutting-edge nature of the technology, the field requires studies that explore how it is developed and applied, effectively resulting in the development of an AR market in healthcare. Therefore, the research question for this thesis is ‘What strategy can be adopted to develop the AR market?’
This thesis adopted a Collaborative Action Research methodology to explore the development of an AR market in one UK region (Cornwall), and through this experience develop a Technology Strategy for building and orchestrating the creation of AR markets in other regions. This thesis is based on interdisciplinary research that draws from fields such as business management, entrepreneurship policy, robotics development and evaluation, and health technology adoption research.
The intervention in Cornwall focussed on two key market constituents: the healthcare sector and producers (suppliers, i.e. firms and developers). The main work with the healthcare sector focused on supporting the AR adoption process. To this end, 35 events in Cornwall were used to raise awareness of AR, exploring healthcare challenges and the sector’s role in co-creation activities. The main work with the producers was to identify market barriers while actively supporting them in the product development process. Here, 28 AR companies in total from the UK, Ireland, the US, France and China working at different business stages were supported as part of this activity.
Eight case studies were generated, including two completed trials of AR and two external strategic partnerships. An entrepreneurship programme that supported 58 entrepreneurs was designed, creating four robotic start-ups for the region. Finally, a lab for the evaluation of AR technologies to support companies was also established.
Through the work with the healthcare sector, this thesis identified a lack of awareness of the AR market and the critical role that the sector plays in its development process. On the supply side, this thesis explored the main market barriers, including a lack of specialized agencies at a planning level, a fragmented healthcare sector that inhibits entrepreneurship, and outdated governmental policies for technology-based innovations. Overall, the findings confirmed a complete lack of preparedness and a need for changing traditional methods that are blocking innovation.
Building upon these findings, this thesis presents a Technology Strategy for the creation of AR markets. The strategy offers practical recommendations on how regions can build and benefit from AR development. Through co-creation and open innovation principles, the strategy establishes key market actors and the multilateral nature of relationships between them. It also details a complete entrepreneurship programme to create companies for the region and business platforms to start the AR market. For the healthcare sector, it describes a complete AR knowledge awareness programme to guide the engagement with the sector. For the producers, it presents best practices and a new model for the development of AR technologies.
This is the first study of its kind to offer a sector-specific Technology Strategy for the emerging AR market, aiming to improve the consolidation of this sector. The strategy could be used in regions that share characteristics with Cornwall, but its applicability to other regions is also worth exploring
Desarrollo y análisis de estrategias avanzadas de interacción en sistemas robóticos complejos de rehabilitación y asistencia
Los últimos informes indican que la incidencia de los accidentes cerebro vasculares van en aumento. Los supervivientes de un accidente cerebro vascular generalmente experimentan hemiparesia, lo que provoca un deterioro de las extremidades que implica un notable deterioro de la calidad de vida. La escasez de recursos junto con la necesidad de rehabilitación y asistencia que presentan estas personas, hacen que el cuidado y los ejercicios de rehabilitación que proporcionan las plataformas robóticas de rehabilitación cobren aún más importancia en la actualidad y en los próximos años.
La presente Tesis Doctoral se centra en el desarrollo de una arquitectura multimodal capaz de implementar sistemas robóticos complejos de rehabilitación y asistencia. Con esta arquitectura, se plantea implementar y evaluar los siguientes sistemas. Primero, llevar a cabo la implementación de un sistema complejo de robótica asistencial. Después, desarrollar un sistema para la realización de terapias competitivas. Seguidamente, implementar un sistema para realizar terapias cooperativas. Y finalmente, desarrollar un sistema capaz de implementar terapias de tele-rehabilitación mediante una estrategia de teleoperación maestro-esclavo.
Los principales resultados de esta tesis se han publicado en dos artículos en revistas incluidas en el Journal Citation Reports (JCR). La publicación “Feasibility and safety of shared EEG/EOG and vision-guided autonomous whole-arm exoskeleton control to perform activities of daily living” se ha evaluado la implementación de un sistema complejo de robótica asistencial basado en la arquitectura multimodal desarrollada en esta tesis, en el que se ha integrado con éxito multitud de sensores junto con diferentes interfaces de control y dispositivos robóticos para la creación de un sistema autónomo capaz de ayudar a un usuario a realizar actividades de la vida diaria. Por otro lado, en la publicación “Differences in Physiological Reactions Due to a Competitive Rehabilitation Game Modality”, se han analizado los cambios que se producen en el estado afectivo del paciente en una terapia de neurorrehabilitación asistida por robots debidos a una modalidad de juego multijugador de tipo competitivo.
Finalmente, cabe destacar que uno de los resultados de la presente tesis ha dado lugar a la patente ES1234596U: Dispositivo robótico interconectable para rehabilitación de extremidades