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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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樓主: HEMI
31#
發(fā)表于 2025-3-26 21:05:43 | 只看該作者
Springer International Publishing Switzerland 2014
32#
發(fā)表于 2025-3-27 01:24:40 | 只看該作者
Gearing up and accelerating cross‐fertilization between academic and industrial robotics research in Europe:978-3-319-02934-4Series ISSN 1610-7438 Series E-ISSN 1610-742X
33#
發(fā)表于 2025-3-27 08:19:44 | 只看該作者
https://doi.org/10.1007/978-3-319-02934-4ECHORD; Robotics; Technology Transfer
34#
發(fā)表于 2025-3-27 12:49:21 | 只看該作者
The ECHORD Project: A General Perspective,ether European robotics manufacturers with the excellent European research institutions. Europe has a very strong robot industry and there is significant research potential as well as technological knowledge. There has been a long history of outstanding research and development in both robot manufac
35#
發(fā)表于 2025-3-27 17:24:36 | 只看該作者
36#
發(fā)表于 2025-3-27 17:49:50 | 只看該作者
37#
發(fā)表于 2025-3-27 21:55:03 | 只看該作者
In-Situ Robotic Fabrication: Advanced Digital Manufacturing Beyond the Laboratoryositions building components in-situ. Developed by the research group of Gramazio & Kohler at ETH Zurich, this approach offers unique advantages over traditional building technology: it fosters non-standard building processes, it can be directly applied on the construction site and it is easily scal
38#
發(fā)表于 2025-3-28 05:46:35 | 只看該作者
39#
發(fā)表于 2025-3-28 08:11:31 | 只看該作者
Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Con of view. It specifically asks, how the user’s implicit knowledge about the scene and the task can be transferred effectively to the robot through kinesthetic teaching. It proposes a new method to visualize the implicit scene model conveyed by the user when teaching a respective inverse kinematics a
40#
發(fā)表于 2025-3-28 12:10:09 | 只看該作者
Active Recognition and Manipulation for Mobile Robot Bin Pickingsystem including active object perception and grasp planning for bin picking with a mobile robot. At the core of our approach is an efficient representation of objects as compounds of simple shape and contour primitives. This representation is used for both robust object perception and efficient gra
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