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Single-Shot Learning and Scheduled Execution of Behaviors for a Robotic Manipulator

Title data

Groth, Christian ; Henrich, Dominik:
Single-Shot Learning and Scheduled Execution of Behaviors for a Robotic Manipulator.
In: ISR/Robotik 2014; 41st International Symposium on Robotics. - München , 2014 . - pp. 1-6

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Intuitive Programmierung von Roboter-Manipulatoren (INTROP)
250579273

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

In order to introduce robots into the household domain, they must be easy to program and be able to perform various tasks without being reprogrammed every time. In this paper, we address both issues. First, we present a behavior-based architecture, which is capable of storing, executing, and switching between various manipulation tasks of a robotic manipulator. Second, we present a single-shot learning from demonstration, to allow the user to extend the set of known behaviors by guiding the robot through new tasks.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: intuitive roboter programmierung
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: 19 Feb 2025 15:07
Last Modified: 26 Aug 2025 12:22
URI: https://eref.uni-bayreuth.de/id/eprint/92476