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Titlebook: 2016 International Symposium on Experimental Robotics; Dana Kulić,Yoshihiko Nakamura,Gentiane Venture Conference proceedings 2017 Springer

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Untethered One-Legged Hopping in 3D Using Linear Elastic Actuator in Parallel (LEAP)dermal movement of the face that take place in early period of embryogenesis (Shugar et al. 1980; Miro et al. 1998; Som et al. 2011). Chordomas don’t have a capsule and grow expansively with tumor “finger-like” outgrowths formation. If histologically tumors have cartilaginous inclusions, they are re
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Learning Grasps in a Synergy-based Frameworkoint of view, the advantages of spectral-based iodine extraction with subsequent creation of virtual unenhanced images can be maximally exploited if a split-bolus CT urography injection/acquisition technique is carried out. The simultaneous nephrographic parenchymal contrast enhancement and urograph
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Core Actuation Promotes Self-manipulability on a Direct-Drive Quadrupedal Robotf MR imaging. This is true despite the fact that there are so far only rare indications which definitely require MR imaging as a guidance tool. But some lesions which are only detectable by MR imaging require MR guidance or MR-guided localization and marking (Solomon et al. 2002). Among these, breas
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Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collectionescribe syntax and semantics of the language as it is being introduced. .This book should be read by anyone who is interested in testing integrated circuits. The contents of this book are especially relevant to the segment of the industry that is developing cores and/or using cores in system-on-chip methodolo978-1-4757-7800-7978-0-306-47826-0
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Conference proceedings 2017ations. However, the significance of experiments remains and will remain atthe center of the discipline. The ISER gatherings are a venue where scientists can gather and talk about robotics based on this central tenet.  .. .
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Basis Properties of Fourier Seriesoint-cloud by generating denser point-clouds of specific areas of interest. In this context, we evaluate the performance of point-cloud registration methods to align two maps that were obtained by different sensors. In our validation, we compare classical point-cloud alignment methods to a novel pro
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Summary, Conclusion and Outlook we validate that our approach learns grasping by constructing the grasp dataset autonomously. The experimental results show that our approach learns multiple grasping policies and generalizes the learned grasps by using local point cloud information.
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Learning Transferable Policies for Monocular Reactive MAV Controlple review of the embryology and epidemiology of the abnormality as well as a concise explanation of the anatomy of the abnormality. In addition, the methods to identify and recognize the abnormality by compute978-1-4471-7067-9978-1-4471-5088-6
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