Ramsete : articulated and mobile robotics for services and technologies
Author(s)
Bibliographic Information
Ramsete : articulated and mobile robotics for services and technologies
(Lecture notes in control and information sciences, 270)
Springer, c2001
Available at 30 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
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  Toyama
  Ishikawa
  Fukui
  Yamanashi
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  Gifu
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  Mie
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  Kyoto
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  Hyogo
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  Tottori
  Shimane
  Okayama
  Hiroshima
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  Tokushima
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  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
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Note
Includes bibliographical references
Description and Table of Contents
Description
Robotics applications, initially developed for industrial and manufacturing contexts, are now strongly present in several elds. Besides well-known space and high-technology applications, robotics for every day life and medical s- vices is becoming more and more popular. As an example, robotic manipu- tors are particularly useful in surgery and radiation treatments, they could be employed for civil demining, for helping disabled people, and ultimately for domestic tasks, entertainment and education. Such a kind of robotic app- cations require the integration of many di erent skills. Autonomous vehicles and mobile robots in general must be integrated with articulated manipu- tors. Many robotic technologies (sensors, actuators and computing systems) must be properly used with speci c technologies (localisation, planning and control technologies). The task of designing robots for these applications is a hard challenge: a speci c competence in each area is demanded, in the e ort of a truly integrated multidisciplinary design.
Table of Contents
Strategies for Control and Coordination within Multiarm Systems.- Modelling and Control of Servomechanisms.- Robotic Grasping and Manipulation.- Tactile Sensing for Robotic Manipulation.- On Control of Flexible Robots.- Interaction Control.- Impact Modelling and Control of Robotic Links.- Control of Wheeled Mobile Robots: An Experimental Overview.- Landmark Recognition in Indoor Navigation by Fuzzy Maps and CBR.- Sensor Fusion for Robot Localisation.
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