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  • 1.
    Cao, Hoang-Long
    et al.
    Vrije Universiteit Brussel, Belgium.
    Esteban, Pablo G.
    Mechanical Engineering, Vrije Universiteit Brusel, Brussels, Belgium.
    Bartlett, Madeleine
    Plymouth University, United Kingdom.
    Baxter, Paul Edward
    School of Computer Science, University of Lincoln, United Kingdom.
    Belpaeme, Tony
    Faculty of Science and Environment, Plymouth University, United Kingdom.
    Billing, Erik
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Cai, Haibin
    School of computing, University of Portsmouth, Southampton, United Kingdom.
    Coeckelbergh, Mark
    University of Twente, The Netherlands.
    Costescu, Cristina
    Department of Clinical Psychology and Psychotherapy, Universitatea Babes-Bolyai, Cluj Napoca, Romania.
    David, Daniel
    Babes-Bolyai University, Romania.
    De Beir, Albert
    Robotics & Multibody Mechanics Research Group, Vrije Universiteit Brussel (VUB), Bruxelles, Belgium.
    Hernandez Garcia, Daniel
    School of Computing, Electronics and Mathematics, University of Plymouth, United Kingdom.
    Kennedy, James
    Disney Research Los Angeles, Disney Research, Glendale, California United States of America.
    Liu, Honghai
    Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom.
    Matu, Silviu
    Babes-Bolyai University, Romania.
    Mazel, Alexandre
    Research, Aldebaran-Robotics, Le Kremlin Bicetre, France.
    Pandey, Amit Kumar
    Innovation Department, SoftBank Robotics, Paris, France.
    Richardson, Kathleen
    Faculty of Technology, De Montfort University, Leicester, United Kingdom.
    Senft, Emmanuel
    Centre for Robotics and Neural System, Plymouth University, United Kingdom.
    Thill, Serge
    Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands.
    Van de Perre, Greet
    Applied Mechanics, Vrije Universiteit Brussel, Elsene, Belgium.
    Vanderborght, Bram
    Department of Mechanical Engineering, Vrije Universiteit Brussel, Brussels, Belgium.
    Vernon, David
    Electrical and Computer Engineering, Carnegie Mellon University Africa, Kigali, Rwanda.
    Wakanuma, Kutoma
    De Montfort University, United Kingdom.
    Yu, Hui
    Creative Technologies, University of Portsmouth, Portsmouth, United Kingdom.
    Zhou, Xiaolong
    Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Robot-Enhanced Therapy: Development and Validation of a Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy2019Ingår i: IEEE robotics & automation magazine, ISSN 1070-9932, E-ISSN 1558-223X, Vol. 26, nr 2, s. 49-58Artikel i tidskrift (Refereegranskat)
  • 2.
    Esteban, Pablo G.
    et al.
    Robotics and Multibody Mechanics Research Group, Agile & Human Centered Production and Robotic Systems Research Priority of Flanders Make, Vrije Universiteit Brussel, Brussels, Belgium.
    Baxter, Paul
    Centre for Robotics and Neural Systems, Plymouth University, Plymouth, United Kingdom.
    Belpaeme, Tony
    Centre for Robotics and Neural Systems, Plymouth University, Plymouth, United Kingdom.
    Billing, Erik
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Cai, Haibin
    School of Computing, University of Portsmouth, Portsmouth, United Kingdom.
    Cao, Hoang-Long
    Robotics and Multibody Mechanics Research Group, Agile & Human Centered Production and Robotic Systems Research Priority of Flanders Make, Vrije Universiteit Brussel, Brussels, Belgium.
    Coeckelbergh, Mark
    Centre for Computing and Social Responsibility, Faculty of Technology, De Montfort University, Leicester, United Kingdom.
    Costescu, Cristina
    Department of Clinical Psychology and Psychotherapy, Babeş-Bolyai University, Cluj-Napoca, Romania.
    David, Daniel
    Department of Clinical Psychology and Psychotherapy, Babeş-Bolyai University, Cluj-Napoca, Romania.
    De Beir, Albert
    Robotics and Multibody Mechanics Research Group, Agile & Human Centered Production and Robotic Systems Research Priority of Flanders Make, Vrije Universiteit Brussel, Brussels, Belgium.
    Fang, Yinfeng
    School of Computing, University of Portsmouth, Portsmouth, United Kingdom.
    Ju, Zhaojie
    School of Computing, University of Portsmouth, Portsmouth, United Kingdom.
    Kennedy, James
    Centre for Robotics and Neural Systems, Plymouth University, Plymouth, United Kingdom.
    Liu, Honghai
    School of Computing, University of Portsmouth, Portsmouth, United Kingdom.
    Mazel, Alexandre
    Softbank Robotics Europe, Paris, France.
    Pandey, Amit
    Softbank Robotics Europe, Paris, France.
    Richardson, Kathleen
    Centre for Computing and Social Responsibility, Faculty of Technology, De Montfort University, Leicester, United Kingdom.
    Senft, Emmanuel
    Centre for Robotics and Neural Systems, Plymouth University, Plymouth, United Kingdom.
    Thill, Serge
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Van de Perre, Greet
    Robotics and Multibody Mechanics Research Group, Agile & Human Centered Production and Robotic Systems Research Priority of Flanders Make, Vrije Universiteit Brussel, Brussels, Belgium.
    Vanderborght, Bram
    Robotics and Multibody Mechanics Research Group, Agile & Human Centered Production and Robotic Systems Research Priority of Flanders Make, Vrije Universiteit Brussel, Brussels, Belgium.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Yu, Hui
    School of Computing, University of Portsmouth, Portsmouth, United Kingdom.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder2017Ingår i: Paladyn - Journal of Behavioral Robotics, ISSN 2080-9778, E-ISSN 2081-4836, Vol. 8, nr 1, s. 18-38Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Robot-Assisted Therapy (RAT) has successfully been used to improve social skills in children with autism spectrum disorders (ASD) through remote control of the robot in so-called Wizard of Oz (WoZ) paradigms.However, there is a need to increase the autonomy of the robot both to lighten the burden on human therapists (who have to remain in control and, importantly, supervise the robot) and to provide a consistent therapeutic experience. This paper seeks to provide insight into increasing the autonomy level of social robots in therapy to move beyond WoZ. With the final aim of improved human-human social interaction for the children, this multidisciplinary research seeks to facilitate the use of social robots as tools in clinical situations by addressing the challenge of increasing robot autonomy.We introduce the clinical framework in which the developments are tested, alongside initial data obtained from patients in a first phase of the project using a WoZ set-up mimicking the targeted supervised-autonomy behaviour. We further describe the implemented system architecture capable of providing the robot with supervised autonomy.

  • 3.
    Sandini, Giulio
    et al.
    Istituto Italiano di Tecnologia, Genova.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    The Hows and Whys of Effective Interdisciplinarity2014Ingår i: IEEE AMD Newsletter, ISSN 1550-1914, Vol. 6, nr 2, s. 6-7Artikel, forskningsöversikt (Övrigt vetenskapligt)
  • 4.
    Thill, Serge
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    How to Design Emergent Models of Cognition for Application-Driven Artificial Agents2016Ingår i: Neurocomputational Models of Cognitive Development and Processing: Proceedings of the 14th Neural Computation and Psychology Workshop / [ed] Katherine Twomey, Gert Westermann, Padraic Monaghan & Alastair Smith, Singapore: World Scientific, 2016, s. 115-129Konferensbidrag (Refereegranskat)
    Abstract [en]

    Emergent models of cognition are attractive for artificial cognitive agents because they overcome the brittleness of systems that are fully specified in axiomatic terms at design time, increasing, for example, the ability to deal with uncertainty and unforeseen events. When the agent is created to fulfil specific requirements defined by a given application, there is an apparent conflict between the emergent (i.e. self-defining) nature of the agent's behaviour and the pre-specified (i.e. axiomatically-defined) nature of the requirements.

    Here, we develop a framework for the design of emergent models of cognition whose behaviour can be shaped to fulfil application requirements while retaining the desired characteristics of emergence. We achieve this by viewing the artificial agent as forming an eco-system with the environment in which it is deployed. Consequently, the objective function that determines the agent's behaviour is cast in terms that factor in interaction with the environment (while not being controlled by it) and therefore implicitly includes the application requirements.

    This framework is particularly relevant to application driven research where artificial agents are designed to interact with humans in a certain manner. We illustrate this with the example of robot-enhanced therapy for children with autism spectrum disorder

  • 5.
    Thill, Serge
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    The relevance of emergent models in application-driven research2014Konferensbidrag (Refereegranskat)
  • 6.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Artificial Cognitive Systems: A Primer2014Bok (Refereegranskat)
    Abstract [en]

    This book offers a concise and accessible introduction to the emerging field of artificial cognitive systems. Cognition, both natural and artificial, is about anticipating the need for action and developing the capacity to predict the outcome of those actions. Drawing on artificial intelligence, developmental psychology, and cognitive neuroscience, the field of artificial cognitive systems has as its ultimate goal the creation of computer-based systems that can interact with humans and serve society in a variety of ways. This primer brings together recent work in cognitive science and cognitive robotics to offer readers a solid grounding on key issues.

  • 7.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Cognitive System2014Ingår i: Computer Vision: A Reference Guide / [ed] Katsushi Ikeuchi, Boston: Springer, 2014, s. 100-106Kapitel i bok, del av antologi (Refereegranskat)
  • 8.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Cognitive Vision2014Ingår i: Computer Vision: A Reference Guide / [ed] Katsushi Ikeuchi, Boston: Springer, 2014, s. 106-109Kapitel i bok, del av antologi (Refereegranskat)
  • 9.
    Vernon, David
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information.
    Goal-directed Action and Eligible Forms of Embodiment2013Ingår i: Constructivist Foundations, ISSN 1782-348X, E-ISSN 1782-348X, Vol. 9, nr 1, s. 85-86Artikel, forskningsöversikt (Refereegranskat)
  • 10.
    Vernon, David
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information.
    Interpreting Ashby - But which One?2013Ingår i: Constructivist Foundations, ISSN 1782-348X, E-ISSN 1782-348X, Vol. 9, nr 1, s. 111-113Artikel, forskningsöversikt (Refereegranskat)
  • 11.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Reconciling Constitutive and Behavioural Autonomy: The Challenge of Modelling Development in Enactive Cognition2016Ingår i: Intellectica, ISSN 0769-4113, Vol. 65, s. 63-79Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In the enactive paradigm of cognitive science, development plays a crucial role in the realization of cognition. This position runs counter to the computational functionalism upon which cognitivist and classical artificial intelligence systems are founded, especially the assumption that cognition can be achieved by embedding pre-formed knowledge. The enactive stance involves a progressive phased transition from cognitive capacity to cognitive capability, highlighting the role of development in extending the timescale of a cognitive agent’s prospective abilities and in expanding its repertoire of effective action. We review briefly some necessary conditions for cognitive development, drawing on examples from developmental psychology, illustrating the ideas by looking at the ontogenesis of instru- mental helping and collaboration in infants, and identifying some of the essential elements of a developmental cognitive architecture. We then focus on the fact that enactive sys- tems are operationally-closed, autonomous, and self-maintaining. Consequently, there are organizational constitutive processes at play as well as behavioural ones. Reconciling these complementary processes poses a significant challenge for the creation of complete model of development that must show how constitutive autonomy is compatible with and may even give rise to behavioural autonomy. We conclude by drawing attention to recent research which could provide a way of addressing this challenge. 

  • 12.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Visual Cognition2014Ingår i: Computer Vision: A Reference Guide / [ed] Katsushi Ikeuchi, Boston: Springer, 2014, s. 860-862Kapitel i bok, del av antologi (Refereegranskat)
  • 13.
    Vernon, David
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Beetz, Michael
    Institute for Artificial Intelligence, University of Bremen, Bremen, Germany.
    Giulio, Sandini
    Department of Robotics, Brain and Cognitive Sciences, Istituto Italiano di Tecnologia, Genova, Italy.
    Prospection in cognition: The case for joint episodic-procedural memory in cognitive robotics2015Ingår i: Frontiers in Robotics and AI, ISSN 2296-9144, Vol. 2, artikel-id 19Artikel i tidskrift (Refereegranskat)
  • 14.
    Vernon, David
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Billing, Erik
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Hemeren, Paul
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Thill, Serge
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Department of Computer and Information Science, Linköping University, Sweden.
    An Architecture-oriented Approach to System Integration in Collaborative Robotics Research Projects: An Experience Report2015Ingår i: Journal of Software Engineering for Robotics, ISSN 2035-3928, E-ISSN 2035-3928, Vol. 6, nr 1, s. 15-32Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Effective system integration requires strict adherence to strong software engineering standards, a practice not much favoured in many collaborative research projects. We argue that component-based software engineering (CBSE) provides a way to overcome this problem because it provides flexibility for developers while requiring the adoption of only a modest number of software engineering practices. This focus on integration complements software re-use, the more usual motivation for adopting CBSE. We illustrate our argument by showing how a large-scale system architecture for an application in the domain of robot-enhanced therapy for children with autism spectrum disorder (ASD) has been implemented. We highlight the manner in which the integration process is facilitated by the architecture implementation of a set of placeholder components that comprise stubs for all functional primitives, as well as the complete implementation of all inter-component communications. We focus on the component-port-connector meta-model and show that the YARP robot platform is a well-matched middleware framework for the implementation of this model. To facilitate the validation of port-connector communication, we configure the initial placeholder implementation of the system architecture as a discrete event simulation and control the invocation of each component’s stub primitives probabilistically. This allows the system integrator to adjust the rate of inter-component communication while respecting its asynchronous and concurrent character. Also, individual ports and connectors can be periodically selected as the simulator cycles through each primitive in each sub-system component. This ability to control the rate of connector communication considerably eases the task of validating component-port-connector behaviour in a large system. Ultimately, over and above its well-accepted benefits for software re-use in robotics, CBSE strikes a good balance between software engineering best practice and the socio-technical problem of managing effective integration in collaborative robotics research projects. 

  • 15.
    Vernon, David
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Lowe, Robert
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Division of Cognition and Communication, University of Gothenburg, Gothenburg, Sweden.
    Thill, Serge
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Department of Computer and Information Science, Linköping University, Sweden.
    Embodied cognition and circular causality: On the role of constitutive autonomy in the reciprocal coupling of perception and action2015Ingår i: Frontiers in Psychology, ISSN 1664-1078, E-ISSN 1664-1078, Vol. 6, artikel-id 1660Artikel i tidskrift (Refereegranskat)
  • 16.
    Vernon, David
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Thill, Serge
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    The Role of Intention in Cognitive Robotics2016Ingår i: Toward Robotic Socially Believable Behaving Systems: Volume I / [ed] Anna Esposito & Lakhmi C. Jain, Switzerland: Springer, 2016, s. 15-27Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    We argue that the development of robots that can interact effectively with people requires a special focus on building systems that can perceive and comprehend intentions in other agents. Such a capability is a prerequisite for all pro-social behaviour and in particular underpins the ability to engage in instrumental helping and mutual collaboration. We explore the prospective and intentional nature of action, highlighting the importance of joint action, shared goals, shared intentions, and joint attention in facilitating social interaction between two or more cognitive agents. We discuss the link between reading intentions and theory of mind, noting the role played by internal simulation, especially when inferring higher-level actionfocussed intentions. Finally, we highlight that pro-social behaviour in humans is the result of a developmental process and we note the implications of this for the challenge of creating cognitive robots that can read intentions.

  • 17.
    Vernon, David
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    von Hofsten, Claes
    Department of Psychology, University of Uppsala, Sweden.
    Fadiga, Luciano
    Section of Human Physiology, University of Ferrara, Italy / IIT@UniFe Center for Translational Neurophysiology, Istituto Italiano di Tecnologia, Ferrara, Italy.
    Desiderata for developmental cognitive architectures2016Ingår i: Biologically Inspired Cognitive Architectures, ISSN 2212-683X, E-ISSN 2212-6848, Vol. 18, s. 116-127Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper complements Ron Sun’s influential Desiderata for Cognitive Architectures by focussing on the desirable attributes of a biologically-inspired cognitive architecture for an agent with a capacity for autonomous development. Ten desiderata are identified, dealing with value systems & motives, embodiment, sensorimotor contingencies, perception, attention, prospective action, memory, learning, internal simulation, and constitutive autonomy. These desiderata are motivated by studies in developmental psychology, cognitive neuroscience, and enactive cognitive science. All ten focus on the ultimate aspects of cognitive development — why a feature is necessary and what it enables — rather on than the proximate mechanisms by which it can be realized. As such, the desiderata are for the most part neutral regarding the paradigm of cognitive science — cognitivist or emergent — that is adopted when designing a cognitive architecture. Where some element of a desideratum is specific to a particular paradigm, this is noted.

  • 18.
    Ziemke, Tom
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Thill, Serge
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Vernon, David
    Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Embodiment is a Double-Edged Sword in Human-Robot Interaction: Ascribed vs. Intrinsic Intentionality2015Ingår i: Proc. Workshop on Cognition: A Bridge between Robotics and Interaction, 2015, s. 9-10Konferensbidrag (Refereegranskat)
1 - 18 av 18
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