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Sökning: swepub > Örebro universitet > Broxvall Mathias > Saffiotti Alessandro

  • Resultat 1-10 av 27
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1.
  • Saffiotti, Alessandro, et al. (författare)
  • The PEIS-ecology project : a progress report
  • 2007
  • Ingår i: Proceedings of the ICRA-07 Workshop on Network Robot Systems. Roma, Italy, 2007. ; s. 16-22
  • Konferensbidrag (refereegranskat)abstract
    • The concept of Ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology, combines insights from the fields of ubiquitous robotics and ambient intelligence to provide a new solution to building intelligent robots in the service of people. While this concept provides great potential, it also presents a number of new scientific challenges. The PEIS-Ecology project is an ongoing collaborative project between Swedish and Korean researchers which addresses these challenges. In this paper we introduce the concept of PEIS-Ecology, discuss its potential and its challenges, and present our current steps toward its realization. We also point to experimental results that show the viability of this concept.
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2.
  • Bacciu, D., et al. (författare)
  • Self-sustaining learning for robotic ecologies
  • 2012
  • Konferensbidrag (refereegranskat)abstract
    • The most common use of wireless sensor networks (WSNs) is to collect environmental data from a specificarea, and to channel it to a central processing node for on-line or off-line analysis. The WSN technology,however, can be used for much more ambitious goals. We claim that merging the concepts and technology ofWSN with the concepts and technology of distributed robotics and multi-agent systems can open new waysto design systems able to provide intelligent services in our homes and working places. We also claim thatendowing these systems with learning capabilities can greatly increase their viability and acceptability, bysimplifying design, customization and adaptation to changing user needs. To support these claims, we illus-trate our architecture for an adaptive robotic ecology, named RUBICON, consisting of a network of sensors,effectors and mobile robots.
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3.
  • Bordignon, Mirko, et al. (författare)
  • Seamless integration of robots and tiny embedded devices in a PEIS-ecology
  • 2007
  • Ingår i: IEEE/RSJ international  conference on intelligent robots and systems, IROS 2007. - New York : IEEE. - 978-1-4244-0912-9 ; s. 3101-3106
  • Konferensbidrag (refereegranskat)abstract
    • The fields of autonomous robotics and ambient intelligence are converging toward the vision of smart robotic environments, in which tasks are performed via the cooperation of many networked robotic devices. To enable this vision, we need a common communication and cooperation model that can be shared between robotic devices at different scales, ranging from standard mobile robots to tiny embedded devices. Unfortunately, today's robot middlewares are too heavy to run on tiny devices, and middlewares for embedded devices are too simple to support the cooperation models needed by an autonomous smart environment. In this paper, we propose a middleware model which allows the seamless integration of standard robots and simple off-the-shelf embedded devices. Our middleware is suitable for building truly ubiquitous robotics applications, in which devices of very different scales and capabilities can cooperate in a uniform way. We discuss the principles and implementation of our middleware, and show an experiment in which a mobile robot, a commercial mote, and a custom-built mote cooperate in a home service scenario.
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4.
  • Broxvall, Mathias, et al. (författare)
  • An ecological approach to odour recognition in intelligent environments
  • 2006
  • Ingår i: 2006 IEEE International Conference on Robotics and automation, ICRA 2006. - 0-7803-9505-0 ; s. 2066-2071
  • Konferensbidrag (refereegranskat)abstract
    • We present a new approach for odour detection and recognition based on a so-called PEIS-Ecology: a network of gas sensors and a mobile robot are integrated in an intelligent environment. The environment can provide information regarding the location of potential odour sources, which is then relayed to a mobile robot equipped with an electronic nose. The robot can then perform a more thorough analysis of the odour character. This is a novel approach which alleviates some the challenges in mobile olfaction techniques by single and embedded mobile robots. The environment also provides contextual information which can be used to constrain the learning of odours, which is shown to improve classification performance.
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5.
  • Broxvall, Mathias, et al. (författare)
  • Have another look on failures and recovery planning in perceptual anchoring
  • 2004
  • Konferensbidrag (refereegranskat)abstract
    • An important requirement for autonomous systems is the ability to detect and recover from exceptional situations such as failures in observations. In this paper we demonstrate how techniques for planning with sensing under uncertainty can play a major role in solving the problem of recovering from such situations. In this first step we concentrate on failures in perceptual anchoring, that is how to connect a symbol representing an object to the percepts of that object. We provide a classification of failures and present planning-based methods for recovering from them. We illustrate our approach by showing tests run on a mobile robot equipped with a color camera.
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6.
  • Broxvall, Mathias, et al. (författare)
  • Interacting with a robot ecology using task templates
  • 2007
  • Ingår i: 16th IEEE international symposium on robot and human interactive communication, RO-MAN 2007. - New York : IEEE. - 978-1-4244-1634-9 ; s. 487-492
  • Konferensbidrag (refereegranskat)abstract
    • Robot ecologies provide a new paradigm for assistive, service, industrial, and entertainment robotics which is quickly gaining popularity. These ecologies contain a large number of robotic components pervasively embedded in the environment and interacting with each other. Human users of such systems need to be able to interface with both the system as a w hole and, if desired, which each individual component. The humans should be able to transmit, in a natural way, commands that range from basic ones, such as "turn on the lights in the bedroom", to abstract ones, such as "bring me a cup of coffee". Human users may also need to interact with task execution, especially at decision points. In this paper, we introduce an approach to interface a human user to a specific type of robot ecology, called an ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology. The ecology includes simple sensors and actuators and more complicated devices such as mobile robots. The proposed interface satisfies two requirements: 1) to easily and automatically generate component interfaces, and 2) to provide a simple mechanism by which to request and monitor the execution of tasks in the ecology.
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7.
  • Broxvall, Mathias, et al. (författare)
  • Interacting with a robot ecology using task templates
  • 2007
  • Ingår i: 2007 RO-MAN: 16TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1-3. - NEW YORK : IEEE. - 978-1-4244-1634-9 ; s. 486-491
  • Bokkapitel (övrigt vetenskapligt)abstract
    • Robot ecologies provide a new paradigm for assistive, service, industrial, and entertainment robotics which is quickly gaining popularity. These ecologies contain a large number of robotic components pervasively embedded in the environment and interacting with each other. Human users of such systems need to be able to interface with both the system as a whole and, if desired, which each individual component. The humans should be able to transmit, in a natural way, commands that range from basic ones, such as ''turn on the lights in the bedroom'', to abstract ones, such as ''bring me a cup of coffee''. Human users may also need to interact with task execution especially at decision points. In this paper, we introduce an approach to interface a human user to a specific type of robot ecology, called an ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology. The ecology includes simple sensors and actuators and more complicated devices such as mobile robots. The proposed interface satisfies two requirements: 1) to easily and automatically generate component interfaces, and 2) to provide a simple mechanism by which to request and monitor the execution of tasks in the ecology.
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8.
  • Broxvall, Mathias, et al. (författare)
  • PEIS ecology : integrating robots into smart environments
  • 2006
  • Ingår i: 2006 IEEE International Conference on Robotics and automation, ICRA 2006. - 0-7803-9505-0 ; s. 212-218
  • Konferensbidrag (refereegranskat)abstract
    • We introduce the concept of Ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology. This is a network of heterogeneous robotic devices (PEIS) pervasively embedded in the environment. A PEIS can be as simple as a toaster and as complex as a humanoid robot. PEIS can exchange information at different levels of abstraction, and share both physical and virtual functionalities to perform complex tasks. By putting together insights from the fields of autonomous robotics and of ambient intelligence, the PEIS-Ecology approach explores a new road to building assistive, personal, and service robots. In this paper, we discuss this concept, describe a first realization of it, and show an implemented use-case scenario.
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9.
  • Broxvall, Mathias, et al. (författare)
  • Recovery planning for ambiguous cases in perceptual anchoring
  • 2005
  • Ingår i: Proceedings of the 20th national conference on Artificial intelligence, AAAI-05 : volume 3. - 978-1-57735-236-5 ; s. 1254-1260
  • Konferensbidrag (refereegranskat)abstract
    • An autonomous robot using symbolic reasoning, sensing and acting in a real environment needs the ability to create and maintain the connection between symbols representing objects in the world and the corresponding perceptual representations given by its sensors. This connection has been named perceptual anchoring. In complex environments, anchoring is not always easy to establish: the situation may often be ambiguous as to which percept actually corresponds to a given symbol. In this paper, we extend perceptual anchoring to deal robustly with ambiguous situations by providing general methods for detecting them and recovering from them. We consider different kinds of ambiguous situations and present planning-based methods to recover from them. We illustrate our approach by showing experiments involving a mobile robot equipped with a color camera and an electronic nose.
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10.
  • Broxvall, Mathias, et al. (författare)
  • Steps toward detecting and recovering from perceptual failures
  • 2004
  • Ingår i: Proceedings of the 8th international conference on intelligent autonomous systems. ; s. 793-800
  • Konferensbidrag (refereegranskat)abstract
    • An important requirement for autonomous systems is the ability to detect and recover from exceptional situations such as failures in observations. In this paper we investigate how traditional AI planning techniques can be used to reason about observations and to recover from these situations. In this first step we concentrate on failures in perceptual anchoring. We illustrate our approach by showing experiments run on a mobile robot equipped with a color camera.
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  • Resultat 1-10 av 27
  • [1]23Nästa
 
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