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Titlebook: Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in; Technology transfer Florian R?hrbein

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書目名稱Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in Europe:
副標(biāo)題Technology transfer
編輯Florian R?hrbein,Germano Veiga,Ciro Natale
視頻videohttp://file.papertrans.cn/382/381003/381003.mp4
概述Presents technology transfer experiments from the ECHORD project.Results of the EU-funded project ECHORD (European Clearing House for Open Robotics Development) aiming to strengthen the cooperation be
叢書名稱Springer Tracts in Advanced Robotics
圖書封面Titlebook: Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in; Technology transfer Florian R?hrbein
描述.This monograph by Florian R?hrbein, Germano Veiga and Ciro Natale is an edited collection of 15 authoritative contributions in the area of robot technology transfer between academia and industry. It comprises three parts on .Future Industrial Robotics., .Robotic Grasping. as well as .Human-Centered Robots.. The book chapters cover almost all the topics nowadays considered ‘hot’ within the robotics community, from reliable object recognition to dexterous grasping, from speech recognition to intuitive robot programming, from mobile robot navigation to aerial robotics, from safe physical human-robot interaction to body extenders. All contributions stem from the results of ECHORD – the European Clearing House for Open Robotics Development, a large-scale integrating project funded by the European Commission within the 7th Framework Programme from 2009 to 2013. ECHORD’s two main pillars were the so-called experiments, 52 small-sized industry-driven research projects, and the structured dialog, a powerful interaction instrument between the stakeholders. The results described in this volume are expected to shed new light on innovation and technology transfer from academia to industry in t
出版日期Conference proceedings 20141st edition
關(guān)鍵詞ECHORD; Robotics; Technology Transfer
版次1
doihttps://doi.org/10.1007/978-3-319-02934-4
isbn_ebook978-3-319-02934-4Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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,Commentary on Professor Tomlinson’s Paper,hing the implicit scene model and a subsequent already assisted . to teach the task based on a particular . mode. Further results from the user study confirm that this renders kinesthetic teaching in confined spaces feasible and enables a flexible and fast reconfiguration of the robot.
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G. Nuki,F. Grinlinton,J. Palit,R. Wallacec hand are investigated laying a background for measuring manipulation and grasp quality of the proposed robotic hand. The above experimental, theoretical, hardware and software preparations finally lead to the applications of using two dexterous robotic hands, i.e. one Shadow C6M left hand and one
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Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Conhing the implicit scene model and a subsequent already assisted . to teach the task based on a particular . mode. Further results from the user study confirm that this renders kinesthetic teaching in confined spaces feasible and enables a flexible and fast reconfiguration of the robot.
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Active Recognition and Manipulation for Mobile Robot Bin Pickingkes our object perception approach particularly robust even in the presence of noise, occlusions, and missing information. For grasp planning, we efficiently pre-compute possible grasps directly on the learned object models. During operation, grasps and arm motions are planned in an efficient local
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