Title data
Gecks, Thorsten ; Müller, Christopher ; Henrich, Dominik ; Vogl, Wolfgang:
Coarse Geometry acquisition of welding parts using a novel cheap depth sensor.
In:
ROBOTIK 2012; 7th German Conference on Robotics. -
München
,
2012
. - pp. 1-6
Related URLs
Abstract in another language
We present a human-robot-cooperation welding system, consisting of several phases including a coarse acquisition of the work piece geometry, interactive fine-scanning of welding seam regions and automated optimizing path planning after task specification by the user. The coarse geometry acquisition component is explained in detail showing the feasible application of a novel and cheap 3D-Sensor (MS KINECT) in this domain. The evaluation shows promising and sufficient results for planning the acquisition of high-resolution fine scans using a standard laser scanner and the use of an automated path planning component. The path planning is based on a bidirectional RRT planner followed by a path optimization. The system thus enables the human coworker to specify a welding task for unknown geometries fast to the machine and relieves him from the tedious robot movement planning during the actual welding phase.
Further data
Item Type: | Article in a book |
---|---|
Refereed: | Yes |
Keywords: | Mensch-Roboter-Kooperation; Welding; Robot sensing systems; Solid modeling; Geometry; Data models; Planning |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 20 Feb 2025 12:15 |
Last Modified: | 17 Mar 2025 12:47 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92493 |