Akademibokhandeln
Ron Alterovitz, Ken Goldberg - Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures, Häftad

Häftad, Engelska, 2010

Del i serien Springer Tracts in Advanced Robotics

Motion Planning in Medicine: Optimization and Simulation Algorithms for Image-Guided Procedures

Av Ron Alterovitz, Ken Goldberg

1739 kr

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Beskrivning
Since the dawn of the new millennium, robotics has undergone a major transf- mation in scope and dimensions. This expansion has been brought about by the maturityofthe?eldandtheadvancesinitsrelatedtechnologies.Fromapred- inantly industrial focus, robotics has been rapidly expanding into the challenges of the human world. The new generation of robots is expected to safely and dependably cohabit with humans in homes, workplaces, and communities, p- viding support in services,entertainment,education, healthcare,manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider rangeof applications reaching across diverse research areas and scienti?c disciplines, such as: biomechanics, haptics, neu- sciences, virtual prototyping, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an ab- dant source of stimulation and insights for the ?eld of robotics. It is indeed at the intersection of disciplines that the most striking advances happen.The goal of the series of Springer Tracts in Advanced Robotics (STAR)isto bring, in a timely fashion, the latest advances and developments in robotics on thebasisoftheirsigni?canceandquality.Itisourhopethatthewiderdissemi- tion of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing ?eld.
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From the reviews: "This monograph is intended for researchers interested in medical robotics where images are used to guide a surgical device around anatomical obstacles to reach a clinical target or attain a clinical goal. Three key algorithmic problems are addressed, compensation for deformations that may occur when surgical devices contact soft tissue, uncertainty in the response of surgical devices to command actions, and path optimization to achieve the specific goal while minimizing negative side effects." (IEEE Control Systems Magazine, Vol. 30, April, 2010)

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