Intuitive and model-based on-line programming of industrial robots: A modular on-line programming environment
Björn Hein, M. Hensel, Heinz Wörn
- Year
- 2008
- Citations
- 33
Abstract
This paper focuses on the simplification of the on-line programming process of industrial robots. It presents a modular on-line programming environment (software and hardware), which supports an intuitive way of moving and teaching robots, while supporting the user with assisting algorithms like collision avoidance and automatic path planning. Main idea is the combination of different approaches from tele-operation, programming by demonstration and off-line programming, and reuse them in a new fashion on-line on the shopfloor. The proposed programming environment is designed to evaluate the usability of different combination of assisting techniques.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991