Robotics Education and Research at Scale: A Remotely Accessible Robotics Development Platform
Wolfgang Wiedmeyer, Michael Mende, Dennis L. Hartmann, Rainer Bischoff, Christoph Ledermann, Torsten Kröger
- Year
- 2019
- Citations
- 21
Abstract
This paper introduces the KUKA Robot Learning Lab at KIT - a remotely accessible robotics testbed. The motivation behind the laboratory is to make state-of-the-art industrial lightweight robots more accessible for education and research. Such expensive hardware is usually not available to students or less privileged researchers to conduct experiments. This paper describes the design and operation of the Robot Learning Lab and discusses the challenges that one faces when making experimental robot cells remotely accessible. Especially safety and security must be ensured, while giving users as much freedom as possible when developing programs to control the robots. A fully automated and efficient processing pipeline for experiments makes the lab suitable for a large amount of users and allows a high usage rate of the robots.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002