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  <title>E-Archivo Collection:</title>
  <link rel="alternate" href="http://hdl.handle.net/10016/6476" />
  <subtitle />
  <id>http://hdl.handle.net/10016/6476</id>
  <updated>2013-05-19T12:57:18Z</updated>
  <dc:date>2013-05-19T12:57:18Z</dc:date>
  <entry>
    <title>Selection of Actions for an Autonomous Social Robot</title>
    <link rel="alternate" href="http://hdl.handle.net/10016/9851" />
    <author>
      <name>Castro González, Álvaro</name>
    </author>
    <author>
      <name>Malfaz, María</name>
    </author>
    <author>
      <name>Salichs, Miguel A.</name>
    </author>
    <id>http://hdl.handle.net/10016/9851</id>
    <updated>2011-07-13T23:12:32Z</updated>
    <published>2009-12-31T23:00:00Z</published>
    <summary type="text">Title: Selection of Actions for an Autonomous Social Robot
Author(s): Castro González, Álvaro; Malfaz, María; Salichs, Miguel A.
Abstract: Autonomy is a prime issue on robotics field and it is closely related to decision making. Last researches on decision making for social robots are focused on imitating humans’ mind for taking decisions. Following this approach, we propose a motivational system for decision making using internal (drives) and external stimuli for choosing the right action. Actions will be selected from a finite set of skills in order to keep robot’s needs within an acceptable range.; We present how our motivational decision making is applied to a social robot showing an improvement in robot’s autonomy.
Description: 10 pages, 2 figures.-- Contributed to: Social Robotics - Second International Conference on Social Robotics (ICSR 2010, Singapore, Nov 23-24, 2010).-- Best Student Paper Finalist.</summary>
    <dc:date>2009-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Using a Social Robot as a Gaming Platform</title>
    <link rel="alternate" href="http://hdl.handle.net/10016/9850" />
    <author>
      <name>Alonso Martín, Fernando</name>
    </author>
    <author>
      <name>González Pacheco, Víctor</name>
    </author>
    <author>
      <name>Castro González, Álvaro</name>
    </author>
    <author>
      <name>Ramey, Arnaud A.</name>
    </author>
    <author>
      <name>Yébenes, Marta</name>
    </author>
    <author>
      <name>Salichs, Miguel A.</name>
    </author>
    <id>http://hdl.handle.net/10016/9850</id>
    <updated>2011-07-13T23:12:01Z</updated>
    <published>2009-12-31T23:00:00Z</published>
    <summary type="text">Title: Using a Social Robot as a Gaming Platform
Author(s): Alonso Martín, Fernando; González Pacheco, Víctor; Castro González, Álvaro; Ramey, Arnaud A.; Yébenes, Marta; Salichs, Miguel A.
Abstract: As social robotic research advances, robots are improving their abilities in Human-Robot Interaction and, therefore, becoming more human-friendly. While robots are beginning to interact more naturally with humans, new applications and possible uses of social robots are appearing. One of the future applications where robots will be used is entertainment. This paper presents a social robot as a development platform for which several robotic games have been developed. Five of these games are presented and how these games take benefit of the robot’s HRI abilities is detailed.
Description: 10 pages, 6 figures.-- Contributed to: Social Robotics - Second International Conference on Social Robotics (ICSR 2010, Singapore, Nov 23-24, 2010)</summary>
    <dc:date>2009-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Landmark perception planning for mobile robot localization</title>
    <link rel="alternate" href="http://hdl.handle.net/10016/7126" />
    <author>
      <name>Armingol, José M.</name>
    </author>
    <author>
      <name>Moreno, Luis</name>
    </author>
    <author>
      <name>Escalera, Arturo de la</name>
    </author>
    <author>
      <name>Salichs, Miguel A.</name>
    </author>
    <id>http://hdl.handle.net/10016/7126</id>
    <updated>2010-03-04T15:28:08Z</updated>
    <published>1997-12-31T23:00:00Z</published>
    <summary type="text">Title: Landmark perception planning for mobile robot localization
Author(s): Armingol, José M.; Moreno, Luis; Escalera, Arturo de la; Salichs, Miguel A.
Abstract: This paper presents a fuzzy perception planner that takes into account the time cost, the suitability of every landmark detection and the different uncertainties the robot encounters along its path for mobile robot localization. The sensor used is a camera with a motorized zoom on a pan &amp; tilt platform and the artificial landmarks are circles detected through normalized grayscale correlation. An Extended Kalman Filter is used to correct the position and orientation of the vehicle. The resulting self-localization module has been integrated successfully in a more complicated navigation system.
Description: IEEE International Conference on Robotics and Automation, Leuven, Belgium, 1998</summary>
    <dc:date>1997-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Multi-resolution image analysis for vehicle detection</title>
    <link rel="alternate" href="http://hdl.handle.net/10016/7109" />
    <author>
      <name>Hilario, Cristina</name>
    </author>
    <author>
      <name>Collado, Juan Manuel</name>
    </author>
    <author>
      <name>Armingol, José M.</name>
    </author>
    <author>
      <name>Escalera, Arturo de la</name>
    </author>
    <id>http://hdl.handle.net/10016/7109</id>
    <updated>2010-12-20T16:22:50Z</updated>
    <published>2005-04-30T22:00:00Z</published>
    <summary type="text">Title: Multi-resolution image analysis for vehicle detection
Author(s): Hilario, Cristina; Collado, Juan Manuel; Armingol, José M.; Escalera, Arturo de la
Abstract: Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algorithm receives information from a road detection module some geometric restrictions can be applied. A multi-resolution approach is used to speed up the algorithm and work in realtime. Examples of real images are shown to validate the algorithm.
Description: Proceeding of: Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005</summary>
    <dc:date>2005-04-30T22:00:00Z</dc:date>
  </entry>
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