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Robotics & Automation Magazine, IEEE

Issue 1 • Date March 2005

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Displaying Results 1 - 20 of 20
  • Many strings attached: from conventional to robotic marionette manipulation

    Publication Year: 2005 , Page(s): 59 - 74
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3286 KB) |  | HTML iconHTML  

    This paper introduces the evolution of traditional marionette design and manipulation skills from an engineering perspective and describes a novel system developed in Nanyang Technological University, called Robotic Marionette Systems (ROMS). Through the development of ROMS and the marionette motion generation methods, the possibility of infusing modern robotic and mechatronic technology into the traditional art form of marionette performance is explored while, at the same time, evoking and stimulating public interests in this art form. View full abstract»

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  • Industry / research news

    Publication Year: 2005 , Page(s): 75 - 79
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  • Intelligent cruise control applications: real-time embedded hybrid control software

    Publication Year: 2005 , Page(s): 22 - 28
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1128 KB) |  | HTML iconHTML  

    This article presents the use of a model-based approach for the development of real-time, embedded, hybrid control software. The concepts are illustrated with a scenario involving speed-profile tracking and vehicle following applications for passenger vehicles. The model-based approach was developed in partnership between the University of California at Berkeley, Ford Research Labs, and GM. An ACC and CACC system has been tested in prototype phase, both at highway speeds and in stop-and-go situations. Robotic technologies, such as range, velocity, and acceleration measurements, and their processing and fusion were used as part of the system. In addition, vehicles can present very nonlinear behavior, especially at low speeds, and their control presents a formidable challenge. The problem domain of intelligent cruise-control applications has been described in detail, along with control and software development methodologies. We are currently working on applying the same model-based approach to the development of intelligent cruise-control systems for automated transit buses. View full abstract»

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  • Tracking all traffic: computer vision algorithms for monitoring vehicles, individuals, and crowds

    Publication Year: 2005 , Page(s): 29 - 36
    Cited by:  Papers (5)  |  Patents (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1304 KB) |  | HTML iconHTML  

    This article presents a vision-based system for monitoring crowded urban scenes. The approach combines an effective detection scheme based on optical flow and background removal that can locate vehicles, individual pedestrians, and crowds. The detection phase is followed by the tracking phase that tracks all the detected entities. Traffic objects are not simply tracked but a wealth of information (position, velocity, acceleration/deceleration, bounding rectangle, and shape features) is gathered about them also. Potential applications of the methods include intersection control, traffic data collection, and even crowd control after athletic events. Extensive experimental results for a variety of weather conditions are presented. Future work would focus on methods to deal with shadows and occlusions. View full abstract»

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  • Vehicle detection with a mobile camera: spotting midrange, distant, and passing cars

    Publication Year: 2005 , Page(s): 37 - 43
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1286 KB) |  | HTML iconHTML  

    In this article, a method is presented for detecting vehicles in image sequences without prior knowledge about the position of the road. A single camera placed in a moving vehicle provides image data. For the detection of midrange and distant vehicles, a combination of three clues is used: shadow, entropy, and horizontal symmetry. To detect passing vehicles, a temporal differencing and projected motion is used. The algorithms are tested by means of many different experiments. These experiments illustrate the robust and accurate performance of both approaches. View full abstract»

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  • Society news

    Publication Year: 2005 , Page(s): 10
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  • Euron Report

    Publication Year: 2005 , Page(s): 6
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  • Cooperative autonomous driving: intelligent vehicles sharing city roads

    Publication Year: 2005 , Page(s): 44 - 49
    Cited by:  Papers (21)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2475 KB) |  | HTML iconHTML  

    The paper presents the Intelligent Control System Laboratory's (ICSL) Cooperative Autonomous Mobile Robot technologies and their application to intelligent vehicles for cities. The deployed decision and control algorithms made the road-scaled vehicles capable of undertaking cooperative autonomous maneuvers. Because the focus of ICSL's research is in decision and control algorithms, it is therefore reasonable to consider replacing or upgrading the sensors used with more recent road sensory concepts as produced by other research groups. While substantial progress has been made, there are still some issues that need to be addressed such as: decision and control algorithms for navigating roundabouts, real-time integration of all data, and decision-making algorithms to enable intelligent vehicles to choose the driving maneuver as they go. With continued research, it is feasible that cooperative autonomous vehicles will coexist alongside human drivers in the not-too-distant future. View full abstract»

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  • Education

    Publication Year: 2005 , Page(s): 13
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  • Spatiotemporal vehicle tracking: the use of unsupervised learning-based segmentation and object tracking

    Publication Year: 2005 , Page(s): 50 - 58
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3505 KB) |  | HTML iconHTML  

    In this paper, a framework for spatiotemporal vehicle tracking using unsupervised learning-based segmentation and object tracking is presented. An adaptive background learning and subtraction method is proposed and applied to two real-traffic video sequences to obtain more accurate spatiotemporal information on the vehicle objects. As demonstrated in the experiments, almost all vehicle objects are successfully identified through this framework. View full abstract»

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  • Industrial activities board - RAS IAB's roadmap workshop on intelligent service robots

    Publication Year: 2005 , Page(s): 12
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  • Trailer truck trajectory optimization: the transportation of components for the Airbus A380

    Publication Year: 2005 , Page(s): 14 - 21
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1491 KB) |  | HTML iconHTML  

    European aircraft manufacturer, Airbus, has started a program to develop the largest aircraft ever built, the Airbus A380, which would be able to carry between 550 to 800 passengers on two decks. The six components of the airplane are to be produced in different European cities. They need to be transported from these cities to Toulouse, France, for assembly, and several means of transportation have been investigated. The sizes of the freights, the length of the itinerary, and the narrowness of the critical passages constitute a challenge that classical transportation techniques in the domain of oversized convoys cannot easily overcome. Therefore, Airbus and the French national agency in charge of road management launched a research and development project divided into two parts. The objective of the first part is to adapt functions first to develop for mobile robots to the complex kinematics of trailer-truck systems and integrating these functions into a software platform. The second part of the project aims to define and develop a computer-aided driving system on board the vehicles in order to help the drivers carry out their task. This paper provides a brief overview of the state of the art in trajectory planning for mobile robots and vehicles, and discusses the development of original solutions to address both the kinematic complexity of one of the vehicles and the need to optimize the distance to obstacles. View full abstract»

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  • IEEE Robotics & Automation Magazine

    Publication Year: 2005 , Page(s): 0_1
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    Freely Available from IEEE
  • Table of contents

    Publication Year: 2005 , Page(s): 1
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    Freely Available from IEEE
  • From the Editor's Desk - Forward thinking

    Publication Year: 2005 , Page(s): 2
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    Freely Available from IEEE
  • President's Message - A quality measure of conferences

    Publication Year: 2005 , Page(s): 4 - 9
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    Freely Available from IEEE
  • 2005 IEEE International Conference on Robotics & Automation

    Publication Year: 2005 , Page(s): 5
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    Freely Available from IEEE
  • From the Guest Editor

    Publication Year: 2005 , Page(s): 7 - 8
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    Freely Available from IEEE
  • Calendar

    Publication Year: 2005 , Page(s): 9 - 80
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    Freely Available from IEEE
  • 2004 Robotics and Automation Society AdCom Elections

    Publication Year: 2005 , Page(s): 11
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    Freely Available from IEEE

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