Conference paper
Vision-based robotic system for object agnostic placing operations
Industrial robots are part of almost all modern factories. Even though, industrial robots nowadays manipulate objects of a huge variety in different environments, exact knowledge about both of them is generally assumed. The aim of this work is to investigate the ability of a robotic system to operate within an unknown environment manipulating unknown objects.
The developed system detects objects, finds matching compartments in a placing box, and ultimately grasps and places the objects there. The developed system exploits 3D sensing and visual feature extraction. No prior knowledge is provided to the system, neither for the objects nor for the placing box.
The experimental evaluation of the developed robotic system shows that a combination of seemingly simple modules and strategies can provide effective solution to the targeted problem.
| Language: | English |
|---|---|
| Publisher: | SCITEPRESS Digital Library |
| Year: | 2016 |
| Pages: | 467-75 |
| Proceedings: | 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) |
| ISBN: | 9897581758 and 9789897581755 |
| Types: | Conference paper |
| DOI: | 10.5220/0005712404650473 |
| ORCIDs: | Andersen, Nils Axel |
3D sensing Computer vision and image processing techniques Control in industrial production systems Image recognition Manufacturing facilities Robotics environment unknown object manipulation image matching industrial robots matching compartments modern factories object agnostic placing operations production facilities robot vision vision-based robotic system visual feature extraction
