Multi-layered map based navigation and interaction for an intelligent wheelchair

Intelligent wheelchair is a paradigm of assisted living applications for elderly and disabled people. Its autonomous navigation and human-robot interaction is the major challenge. The previous intelligent wheelchair research has been mainly focused on geometric map based navigation, which is computational expensive in a large scale environment. This paper proposes the use of multi-layered maps for navigation and interaction of an intelligent wheelchair. The semantic information can improve the efficiency of path planning and navigation as well as extend the capability of task planning for the wheelchair. Some experimental results are given to demonstrate the feasibility and performance of the proposed approach

Conceptual spatial representations for indoor mobile robots

We present an approach for creating conceptual representations of human-made indoor environments using mobile robots. The concepts refer to spatial and functional properties of typical indoor environments. Following findings in cognitive psychology, our model is composed of layers representing maps at different levels of abstraction. The complete system is integrated in a mobile robot endowed with laser and vision sensors for place and object recognition. The system also incorporates a linguistic framework that actively supports the map acquisition process, and which is used for situated dialogue. Finally, we discuss the capabilities of the integrated system

Overcoming barriers and increasing independence: service robots for elderly and disabled people

This paper discusses the potential for service robots to overcome barriers and increase independence of elderly and disabled people. It includes a brief overview of the existing uses of service robots by disabled and elderly people and advances in technology which will make new uses possible and provides suggestions for some of these new applications. The paper also considers the design and other conditions to be met for user acceptance. It also discusses the complementarity of assistive service robots and personal assistance and considers the types of applications and users for which service robots are and are not suitable

Mobile Interface for a Smart Wheelchair

Smart wheelchairs are designed for severely motor impaired people that have difficulties to drive standard -manual or electric poweredwheelchairs. Their goal is to automate driving tasks as much as possible in order to minimize user intervention. Nevertheless, human involvement is still necessary to maintain high level task control. Therefore in the interface design it is necessary to take into account the restrictions imposed by the system (mobile and small), by the type of users (people with severe motor restrictions) and by the task (to select a destination among a number of choices in a structured environment). This paper describes the structure of an adaptive mobile interface for smart wheelchairs that is driven by the context.Comisión Interministerial de Ciencia y Tecnología TER96-2056-C02-0

Navegação semântica aplicada a passagens estreitas em cadeira de rodas inteligente

With the development of robotics technology, new opportunities for improving the quality of life of people with mobility impairments arise. The IntellWheels project was born with the goal of developing a hardware and software kit that can turn a motorized wheelchair into an autonomous Intelligent Wheelchair. This dissertation fits into this project on the topic of indoor navigation with the goal of adding a semantic layer to the navigation framework. Semantic in robotics is the ability of a robot to understand its environment. In the case of an Intelligent Wheelchair, this is especially important considering it is a robot that carries a passenger. A solution was developed where concepts of semantic navigation are used to tackle the problem of crossing narrow passages, building an additional mapping layer where these passages are automatically detected and marked on the map and an extra planning layer that takes in this semantic information and makes decisions for controlling the lower-level planners. In order to validate this solution tests, in both simulated and real-world environments, were performed to verify if the individual components worked as intended. This thesis resulted in an improvement of the indoor navigation capabilities of the framework and is a base for further development in the area of semantic navigation of Intelligent Wheelchairs.Com o desenvolvimento da tecnologia em robótica, surgem novas oportunidades para melhorar a qualidade de vida de pessoas com problemas de mobilidade. O projeto IntellWheels nasce com o objetivo de criar um kit de hardware e software capaz de transformar uma cadeira de rodas motorizada numa cadeira de rodas inteligente e autónoma. Esta dissertação encaixa neste projeto no tópico de navegação em ambientes interiores com o objetivo de adicionar uma camada semântica à framework de navegação. Em robótica, semântica é a capacidade de um robô entender o seu ambiente. No caso de uma cadeira de rodas inteligente, isto é especialmente importante tendo em conta que transporta um passageiro. Uma solução foi desenvolvida em que conceitos de navegação semântica são usados para abordar o problema de atravessar passagens estreitas, construindo uma camada adicional de mapeamento em que estas passagens são automaticamente identificadas e marcadas no mapa e uma camada extra de planeamento que recebe esta informação e toma decisões controlando os planeadores de nível mais baixo. Para validar esta solução, foram realizados testes, em ambiente simulado e ambiente real para verificar se os componentes individuais funcionavam como pretendido. Esta dissertação resultou numa melhoria das capacidades de navegação em ambientes interiores da framework e é uma base para futuros desenvolvimentos na área de navegação semântica para cadeiras de rodas inteligentes.Mestrado em Engenharia de Computadores e Telemátic

Mobile Robots

The objective of this book is to cover advances of mobile robotics and related technologies applied for multi robot systems' design and development. Design of control system is a complex issue, requiring the application of information technologies to link the robots into a single network. Human robot interface becomes a demanding task, especially when we try to use sophisticated methods for brain signal processing. Generated electrophysiological signals can be used to command different devices, such as cars, wheelchair or even video games. A number of developments in navigation and path planning, including parallel programming, can be observed. Cooperative path planning, formation control of multi robotic agents, communication and distance measurement between agents are shown. Training of the mobile robot operators is very difficult task also because of several factors related to different task execution. The presented improvement is related to environment model generation based on autonomous mobile robot observations

A non-holonomic, highly human-in-the-loop compatible, assistive mobile robotic platform guidance navigation and control strategy

The provision of assistive mobile robotics for empowering and providing independence to the infirm, disabled and elderly in society has been the subject of much research. The issue of providing navigation and control assistance to users, enabling them to drive their powered wheelchairs effectively, can be complex and wide-ranging; some users fatigue quickly and can find that they are unable to operate the controls safely, others may have brain injury re-sulting in periodic hand tremors, quadriplegics may use a straw-like switch in their mouth to provide a digital control signal. Advances in autonomous robotics have led to the development of smart wheelchair systems which have attempted to address these issues; however the autonomous approach has, ac-cording to research, not been successful; users reporting that they want to be active drivers and not passengers. Recent methodologies have been to use collaborative or shared control which aims to predict or anticipate the need for the system to take over control when some pre-decided threshold has been met, yet these approaches still take away control from the us-er. This removal of human supervision and control by an autonomous system makes the re-sponsibility for accidents seriously problematic. This thesis introduces a new human-in-the-loop control structure with real-time assistive lev-els. One of these levels offers improved dynamic modelling and three of these levels offer unique and novel real-time solutions for: collision avoidance, localisation and waypoint iden-tification, and assistive trajectory generation. This architecture and these assistive functions always allow the user to remain fully in control of any motion of the powered wheelchair, shown in a series of experiments

One-shot assistance estimation from expert demonstrations for a shared control wheelchair system

An emerging research problem in the field of assistive robotics is the design of methodologies that allow robots to provide human-like assistance to the users. Especially within the rehabilitation domain, a grand challenge is to program a robot to mimic the operation of an occupational therapist, intervening with the user when necessary so as to improve the therapeutic power of the assistive robotic system. We propose a method to estimate assistance policies from expert demonstrations to present human-like intervention during navigation in a powered wheelchair setup. For this purpose, we constructed a setting, where a human offers assistance to the user over a haptic shared control system. The robot learns from human assistance demonstrations while the user is actively driving the wheelchair in an unconstrained environment. We train a Gaussian process regression model to learn assistance commands given past and current actions of the user and the state of the environment. The results indicate that the model can estimate human assistance after only a single demonstration, i.e. in one-shot, so that the robot can help the user by selecting the appropriate assistance in a human-like fashion

Towards an Architecture for Semiautonomous Robot Telecontrol Systems.

The design and development of a computational system to support robot–operator collaboration is a challenging task, not only because of the overall system complexity, but furthermore because of the involvement of different technical and scientific disciplines, namely, Software Engineering, Psychology and Artificial Intelligence, among others. In our opinion the approach generally used to face this type of project is based on system architectures inherited from the development of autonomous robots and therefore fails to incorporate explicitly the role of the operator, i.e. these architectures lack a view that help the operator to see him/herself as an integral part of the system. The goal of this paper is to provide a human-centered paradigm that makes it possible to create this kind of view of the system architecture. This architectural description includes the definition of the role of operator and autonomous behaviour of the robot, it identifies the shared knowledge, and it helps the operator to see the robot as an intentional being as himself/herself