By Sascha Griffiths, Ciro Natale (auth.), Florian Röhrbein, Germano Veiga, Ciro Natale (eds.)
This monograph by means of Florian Röhrbein, Germano Veiga and Ciro Natale is an edited choice of 15 authoritative contributions within the region of robotic expertise move among academia and undefined. It includes 3 components on Future commercial Robotics, Robotic Grasping in addition to Human-Centered Robots. The ebook chapters conceal just about all the themes these days thought of ‘hot’ in the robotics neighborhood, from trustworthy item acceptance to dexterous greedy, from speech reputation to intuitive robotic programming, from cellular robotic navigation to aerial robotics, from secure actual human-robot interplay to physique extenders. All contributions stem from the result of ECHORD – the eu Clearing apartment for Open Robotics improvement, a large-scale integrating undertaking funded by way of the eu fee in the seventh Framework Programme from 2009 to 2013. ECHORD’s major pillars have been the so-called experiments, fifty one small-sized industry-driven examine initiatives, and the based conversation, a strong interplay software among the stakeholders. the consequences defined during this quantity are anticipated to shed new mild on innovation and know-how move from academia to within the box of robotics.
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Extra info for Gearing Up and Accelerating Cross‐fertilization between Academic and Industrial Robotics Research in Europe:: Technology Transfer Experiments from the ECHORD Project
The most frequently used keywords from all accepted contributions to ICRA-11, ICRA-12, IROS-11 and IROS-12 Next, we had a closer look at all topics with a high share of industry-academia collaborations. Fig. 7 below displays all those keywords that were attached to conference papers whose share in industry-academia was above 10%. For journal papers, a similar keyword analysis is complicated by the fact that no predeﬁned list of keywords exists from which the authors can select. As a consequence, a far larger set of keywords was used and they are overlapping etc.
So, if the illumination intensity changes too much, these camera settings have to be adapted. Otherwise the camera images are on the one 44 C. Vogel, C. Walter, and N. Elkmann hand too dark or on the other hand too light to observe a difference between projected light and background. As a result, the system generates a weak current state mask that does not corresponds to the expected state mask and that further leads to a false positive violation signal. Furthermore, very fast changes of the illumination like stroboscopic lights can also lead to a false positive violation signal.
Furthermore, to avoid this issue during operation the usage of transparent objects should be banned. Reflectance. Objects with low reflectance do not affect the detection capabilities, whereas Objects with high reflectance may influence the detection capabilities. In worst case such an object can be a mirror, as seen in Fig. 12. Here, we positioned a mirror in a way that the projected light is directly reflected to one camera. As a result, in the corresponding current state mask of the camera image, the pixel values of the whole area around the mirror are assumed as projected lights.