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IEEE Robotics & Automation Magazine

Issue 2 • Date June 2010

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Displaying Results 1 - 25 of 28
  • [Front cover]

    Publication Year: 2010, Page(s): C1
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  • Table of contents

    Publication Year: 2010, Page(s): 1
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  • What Makes Our Magazine Different? [From the Editor's Desk]

    Publication Year: 2010, Page(s):2 - 18
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  • The TA Strategic Plan [President' Message]

    Publication Year: 2010, Page(s):4 - 18
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  • Robots in Military and Aerospace Technologies [News and Views]

    Publication Year: 2010, Page(s): 6
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  • The ICRA Robot Challenge [Competitions]

    Publication Year: 2010, Page(s):8 - 10
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  • The Premier Meeting of IFRR [IFRR Update]

    Publication Year: 2010, Page(s): 11
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  • Sharing Software with ROS [ROS Topics]

    Publication Year: 2010, Page(s):12 - 14
    Cited by:  Papers (18)  |  Patents (1)
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  • People Meeting Robots in the Workplace [Industrial Activities]

    Publication Year: 2010, Page(s):15 - 16
    Cited by:  Papers (2)
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  • Robot Learning in Practice [From the Guest Editors]

    Publication Year: 2010, Page(s):17 - 18
    Cited by:  Papers (2)
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  • 6th IEEE International Conference on Automation Science and Engineering

    Publication Year: 2010, Page(s): 19
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  • Learning Control in Robotics

    Publication Year: 2010, Page(s):20 - 29
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2757 KB) | HTML iconHTML

    Recent trends in robot learning are to use trajectory-based optimal control techniques and reinforcement learning to scale complex robotic systems. On the one hand, increased computational power and multiprocessing, and on the other hand, probabilistic reinforcement learning methods and function approximation, have contributed to a steadily increasing interest in robot learning. Imitation learning... View full abstract»

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  • Learning Actions from Observations

    Publication Year: 2010, Page(s):30 - 43
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4866 KB) | HTML iconHTML

    In the area of imitation learning, one of the important research problems is action representation. There has been a growing interest in expressing actions as a combination of meaningful subparts called action primitives. Action primitives could be thought of as elementary building blocks for action representation. In this article, we present a complete concept of learning action primitives to rec... View full abstract»

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  • Learning and Reproduction of Gestures by Imitation

    Publication Year: 2010, Page(s):44 - 54
    Cited by:  Papers (70)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2973 KB) | HTML iconHTML

    We presented and evaluated an approach based on HMM, GMR, and dynamical systems to allow robots to acquire new skills by imitation. Using HMM allowed us to get rid of the explicit time dependency that was considered in our previous work [12], by encapsulating precedence information within the statistical representation. In the context of separated learning and reproduction processes, this novel fo... View full abstract»

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  • Imitation and Reinforcement Learning

    Publication Year: 2010, Page(s):55 - 62
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3159 KB) | HTML iconHTML

    In this article, we present both novel learning algorithms and experiments using the dynamical system MPs. As such, we describe this MP representation in a way that it is straightforward to reproduce. We review an appropriate imitation learning method, i.e., locally weighted regression, and show how this method can be used both for initializing RL tasks as well as for modifying the start-up phase ... View full abstract»

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  • A Mine on Its Own

    Publication Year: 2010, Page(s):63 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4590 KB) | HTML iconHTML

    This article presents a study of Gaussian process (GP) models applied to the problems of modeling and data fusion in the context of large-scale terrain modeling. The proposed model naturally provides a multiresolution representation of space, incorporates and handles uncertainties aptly, and copes with incompleteness of sensory information. These attributes are considered essential to support most... View full abstract»

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  • Learning for Autonomous Navigation

    Publication Year: 2010, Page(s):74 - 84
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6211 KB) | HTML iconHTML

    Autonomous navigation by a mobile robot through L natural, unstructured terrain is one of the premier k challenges in field robotics. Tremendous advances V in autonomous navigation have been made recently in field robotics. Machine learning has played an increasingly important role in these advances. The Defense Advanced Research Projects Agency (DARPA) UGCV-Perceptor Integration (UPI) program was... View full abstract»

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  • Human–Robot Interaction

    Publication Year: 2010, Page(s):85 - 89
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2263 KB) | HTML iconHTML

    The field of human-robot interaction (HRI) addresses the design, understanding, and evaluation of robotic systems, which involve humans and robots interacting through communication. As the field matures, education of students becomes increasingly important. Courses in HRI provide the canonical set of knowledge and core skills that represent the current state of the field and permit the evolution o... View full abstract»

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  • Guided Chaos

    Publication Year: 2010, Page(s):90 - 98
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3339 KB) | HTML iconHTML

    In this article, we have presented, in what we believe to be the first of its kind, the design and simulated testing of automated path planning and control strategies for a fixed-wing UAV executing an unpowered descent for landing during an emergency. Simulated test results demonstrate the ability of the gliding aircraft to follow the prescribed path in changing winds, with average path deviation ... View full abstract»

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  • If You Are Not Afraid… [Student's Corner]

    Publication Year: 2010, Page(s):99 - 100
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  • GigaPixels for Science [Education]

    Publication Year: 2010, Page(s):101 - 104
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  • The IEEE RAS Tunisia Chapter: A Rising and Promising Team [Regional]

    Publication Year: 2010, Page(s):103 - 104
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  • Roboethics [TC Spotlight]

    Publication Year: 2010, Page(s):105 - 109
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  • New Chapters of RAS [Society News]

    Publication Year: 2010, Page(s): 106
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  • 2011 IEEE International Conference on Robotics and Automation

    Publication Year: 2010, Page(s): 30
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Aims & Scope

IEEE Robotics and Automation Magazine is a unique technology publication which is peer-reviewed, readable and substantive.  The Magazine is a forum for articles which fall between the academic and theoretical orientation of scholarly journals and vendor sponsored trade publications.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Eugenio Guglielmelli
Laboratory of Biomedical Robotics
      and Biomicrosystems
Universita' Campus Bio-Medico
      di Roma