Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Fast Vision-based Grasp and Delivery Planning for unknown Objects

Title data

Baumgartl, Johannes ; Henrich, Dominik:
Fast Vision-based Grasp and Delivery Planning for unknown Objects.
In: ROBOTIK 2012; 7th German Conference on Robotics. - München , 2012 . - pp. 1-5

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
PAP
No information

Abstract in another language

Fast manipulation of unknown objects is a basic ability on the way to the robotic co-worker, because it is mostly impractical to have a model of each object in the environment. This paper addresses the problem of grasping and delivering unknown objects by an industrial robot from a table using one single camera image. The delivery planning for each object is done with respect to the packing problem, with the additional constraint that the objects must be regraspable after their delivery. The aim is to build up a system, which has for example the ability to tidy up a table. For this aim, we present two planning algorithms, one for the grasp planning and one of the delivery planning. The performance and robustness of the system is validated by test runs with several objects.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Planning; Grippers; Robot sensing systems; Grasping; Cameras; Computational modeling
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
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 20 Feb 2025 12:40
Last Modified: 20 Feb 2025 12:40
URI: https://eref.uni-bayreuth.de/id/eprint/92496