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Titlebook: Research and Education in Robotics - EUROBOT 2009; International Confer Achim Gottscheber,David Obdr?álek,Colin Schmidt Conference proceedi

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樓主: GLOAT
31#
發(fā)表于 2025-3-26 23:44:17 | 只看該作者
Calibration Methods for a 3D Triangulation Based Camera,ar laser line. This gray level image can be used for a 3D calibration. The following paper describes how a calibration program calculates the calibration factors. The calibration factors serve to determine the size of an unknown reference body.
32#
發(fā)表于 2025-3-27 04:49:02 | 只看該作者
33#
發(fā)表于 2025-3-27 08:03:11 | 只看該作者
Generating Complex Movements of Humanoid Robots by Using Primitives,robots. Primitives represent simple movements that are either reflex or learned. Each primitive has its parameters and constraints that are determined on the basis of the movements capable of performing by a human. The set of all primitives represents the base from which primitives are selected and
34#
發(fā)表于 2025-3-27 12:12:35 | 只看該作者
35#
發(fā)表于 2025-3-27 16:19:14 | 只看該作者
36#
發(fā)表于 2025-3-27 18:07:45 | 只看該作者
1865-0929 rence 2009, held in La Fert′ e-Bernard, France, May 21–23, 2009. Today, robots are indispensable tools for ?exible, automated manufacturing in many areas of industry as well as for the execution of sophisticated or d- gerous tasks in the nuclear industry, in medicine and in space technology, and las
37#
發(fā)表于 2025-3-28 01:20:00 | 只看該作者
38#
發(fā)表于 2025-3-28 04:41:43 | 只看該作者
Control Methodologies for Endoscope Navigation in Robotized Laparoscopic Surgery,trategy has been proposed based on a previous work with a passive wrist robotic assistant. This strategy is able to emulate the behavior of a passive wrist by using two nestled control loops. Finally, the paper concludes with a comparison between both wrists, as well as future applications for actuated wrists related to minimally invasive surgery.
39#
發(fā)表于 2025-3-28 09:12:18 | 只看該作者
40#
發(fā)表于 2025-3-28 11:24:03 | 只看該作者
Real-Time Door Detection Based on AdaBoost Learning Algorithm,which allows finding more than 72% doors with a false- positive rate of 0.008 in static testdata. By using different door perspectives form a moving robot, we detect more than 90% of the doors with a very low false detection rate.
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