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In the last two months the experimental phase of the traffic control strategy developed in Task 2 in the arena built during Task 3 has been started. Given the size of the arena, 3 AGVs will be used to emulate realistic traffic situations. Several layouts and the corresponding roadmaps have been designed and the safety regions...
[Last edited
Feb 2, 2012
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At the end of this month the project participants have finished both the processing of Task 4 and Task 5. Furthermore, in this reporting period we started the work on Task 6 to simultaneously test the developed algorithms under operating conditions.
Besides the receiving of the current robot’s state, we also enabled the...
[Last edited
Feb 6, 2012
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In the last two months of TRAFCON, experiments for comparing the TRAFCON traffic manager and the traffic manager currently used by E80 have been carried on. Experiments have been done in the arena using three AGVs and two different layouts. The experiments have shown that the TRAFCON strategy works better than the E80 one...
[Last edited
Apr 3, 2012
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InterAID multimedia report is ready!!! The file has been uploaded in the same directory of the usual deliverables.
[Last edited
Apr 4, 2012
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For the final two months of the experiment, we focus on the integrating and finalization of the results from the experiment partners (Bonn-Rhein-Sieg University of Applied Science and University of Verona). This efforts applies to both objectives of the experiment which are the EduFill Software Toolbox and the EduFill...
[Last edited
Jul 31, 2013
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For learning object models, we made initial scan alignment more robust by adapting the point-pair feature object detection and pose estimation method of Papazov et al. (ACCV 2010). We only allow transformations that are close to the expected ones in the RANSAC step. For active object perception, we extended the simulation...
[Last edited
Mar 28, 2012
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We conducted experiments where the robot has to actively perceive partially occluded objects which showed that considering object detection results when planning the next view can help finding more objects. We integrated the components developed in ActReMa into a bin-picking application, performed by the cognitive service...
[Last edited
Jun 15, 2012
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Taks 7: System testing Within our last experiment steps we evaluated and optimized the entire robot system. In the first step we examined the object recognition and position estimation of Camera A. The camera configuration and image processing were improved until the derivation did not left a range of ±50mm. In the next step...
[Last edited
Aug 27, 2012
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