Learning to Move a Robot with Random Morphology

  title={Learning to Move a Robot with Random Morphology},
  author={Peter Dittrich and Andreas B{\"u}rgel and Wolfgang Banzhaf},
Complex robots inspired by biological systems usually consist of many dependent actuators and are diicult to control. If no model is available automatic learning and adaptation methods have to be applied. The aim of this contribution is twofold: (1) To present an easy to maintain and cheap test platform, which fullls the requirements of a complex control problem. (2) To discuss the application of Genetic Programming for evolution of control programs in real time. An extensive number of… CONTINUE READING
Highly Cited
This paper has 43 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 28 extracted citations

Artificial evolution mechanisms in robot navigation

2011 11th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM) • 2011
View 1 Excerpt

Evolution of artificial muscle-based robotic locomotion in PhysX

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems • 2010
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 14 references

Learning complex robot behaviors by evo lutionary approaches

Lee, J.W.-P. Hallam, Lund. H.H
European Workshop on Learning Robots, • 1997
View 1 Excerpt

Challenges in evolving controllers for physical robots

Robotics and Autonomous Systems • 1996
View 1 Excerpt

Evolving real-time behavior modules for a real robot with genetic programming

M. Olmer, W. Banzhaf, P Nordin.
In Proceedings of the international symposium on robotics and manufacturing, • 1996
View 1 Excerpt

GMD-Snake: A Semi-Autonomous Snake like Robot, In: Distributed Autonomous Robotic Systems

K. L. Paap, M. Dehlwisch, B. Klaassen
View 1 Excerpt

An e cient swimming machine

M. S. Triantafyllou, G. S. Triantafyllo
Scienti c American, • 1995
View 2 Excerpts

Similar Papers

Loading similar papers…