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IEEE Robotics & Automation Magazine

Issue 4 • Date Dec. 2012

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Displaying Results 1 - 25 of 31
  • [Front cover]

    Publication Year: 2012, Page(s): C1
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  • [Table of contents]

    Publication Year: 2012, Page(s):1 - 2
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  • [IEEE Robotics & Automation Society]

    Publication Year: 2012, Page(s): 2
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  • Open Access [From the Editor's Desk]

    Publication Year: 2012, Page(s): 4
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  • Growing Membership in IEEE RAS [President's Message]

    Publication Year: 2012, Page(s):6 - 8
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  • Robot Challenge [Competitions]

    Publication Year: 2012, Page(s):9 - 11
    Cited by:  Papers (1)
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  • Passenger-Carrying Industrial Robotics [Industrial Activities]

    Publication Year: 2012, Page(s):12 - 16
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  • Lightweight Robot for Everybody [Industrial Activities]

    Publication Year: 2012, Page(s):17 - 18
    Cited by:  Papers (1)
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  • High Tech, Low Sales! [Industrial Activities]

    Publication Year: 2012, Page(s):18 - 19
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  • Robot Web Tools [ROS Topics]

    Publication Year: 2012, Page(s):20 - 23
    Cited by:  Papers (8)
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  • Open Access

    Publication Year: 2012, Page(s): 21
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  • Physical Human-Robot Interaction: Mutual Learning and Adaptation

    Publication Year: 2012, Page(s):24 - 35
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2060 KB) | HTML iconHTML

    Close physical interaction between robots and humans is a particularly challenging aspect of robot development. For successful interaction and cooperation, the robot must have the ability to adapt its behavior to the human counterpart. Based on our earlier work, we present and evaluate a computationally efficient machine learning algorithm that is well suited for such close-contact interaction sce... View full abstract»

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  • Protection from Human Error: Guarded Motion Methodologies for Mobile Robots

    Publication Year: 2012, Page(s):36 - 47
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (701 KB) | HTML iconHTML

    Industrial manipulators and unmanned systems often address a large number of tasks with some type of human-in-the-loop method. In these systems, the robot is given responsibility for some portion of the control tasks, but the human has some role for a variety of reasons; for example, the current technology may not be sufficient for the robot to complete the entire task: there may be safety, liabil... View full abstract»

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  • Artimetrics: Biometrics for Artificial Entities

    Publication Year: 2012, Page(s):48 - 58
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1544 KB) | HTML iconHTML

    Domestic and industrial robots, intelligent software agents, virtual-world avatars, and other artificial entities are being created and deployed in our society for various routine and hazardous tasks, as well as for entertainment and companionship. Over the past ten years or so, primarily in response to the growing security threats and financial fraud, it has become necessary to accurately authent... View full abstract»

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  • Terrain Reconstruction of Glacial Surfaces : Robotic Surveying Techniques

    Publication Year: 2012, Page(s):59 - 71
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2698 KB) | HTML iconHTML

    The capability to monitor natural phenomena using mobile sensing is a benefit to the Earth science community, given the potentially large impact that humans have on naturally occurring processes. Such phenomena can be readily monitored using networks of mobile sensor nodes that are tasked to regions of interest by scientists. In our article, we hone in on a very specific domain, elevation changes ... View full abstract»

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  • The Open Motion Planning Library

    Publication Year: 2012, Page(s):72 - 82
    Cited by:  Papers (130)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1515 KB) | HTML iconHTML

    The open motion planning library (OMPL) is a new library for sampling-based motion planning, which contains implementations of many state-of-the-art planning algorithms. The library is designed in a way that it allows the user to easily solve a variety of complex motion planning problems with minimal input. OMPL facilitates the addition of new motion planning algorithms, and it can be conveniently... View full abstract»

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  • At the End of a Great Year: Listen to the Voice of Young Roboticists [Student's Corner]

    Publication Year: 2012, Page(s):83 - 84
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  • Pitfalls of Publications: On the Sensitive Issue of Plagiarism [Editor's Corner]

    Publication Year: 2012, Page(s):85 - 87
    Cited by:  Papers (1)
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  • Five Hundred and Seven Mechanical Movements (Brown, H.T.) [On the Shelf]

    Publication Year: 2012, Page(s): 88
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  • Design and Control of Intelligent Robotic Systems (Liu, D. EDs, et al) [On the Shelf]

    Publication Year: 2012, Page(s):88 - 89
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  • European Commission, Industry, and Academia Commit to Bigger and Better Robotics Sector [Regional]

    Publication Year: 2012, Page(s):90 - 91
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  • The 2012 IEEE Robotics & Automation Society Safety, Security, and Rescue Robotics Summer School: An Event for the Dissemination of the Challenges and Best-in-Class Capabilities in the SSRR Community [Society News]

    Publication Year: 2012, Page(s):92 - 95
    Cited by:  Papers (1)
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  • 8th IEEE International Conference on Automation Science and Engineering (CASE) [Society News]

    Publication Year: 2012, Page(s):96 - 97
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  • Expanding Around the World [Society News]

    Publication Year: 2012, Page(s):97 - 98
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  • John McCarthy [History]

    Publication Year: 2012, Page(s):99 - 106
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2359 KB) | HTML iconHTML

    John McCarthy is best known as one of the founding fathers of artificial intelligence (AI), a term he coined in 1955, and much has been written about his pioneering work in computer and cognitive science (Figure 1). Less attention has been given to McCarthy's efforts related to robotics, though his AI research instigated and influenced development in the field. As the founder of the Stanford-AI La... View full abstract»

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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