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Artificial systems as models in biological cybernetics.
Titus R Neumann1, Susanne Huber, Heinrich H Bülthoff
1Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany titus.neumann@tuebingen.mpg.de heinrich.buelthoff@tuebingen.mpg.de http://www.kyb.tuebingen.mpg.de/~titus http://www.kyb.tuebingen.mpg.de/~hhb.
The Behavioral and Brain Sciences
|February 5, 2008
Summary
Biological cybernetics suggests computer simulations are superior to physical robots for modeling behavior. However, engineering can leverage biological systems, like insect biology, for artificial system design.
Area of Science:
- Biological Cybernetics
- Robotics
- Artificial Intelligence
Background:
- Physical robots offer no inherent advantage over computer simulations for modeling biological behavior.
- Real-world robots may even reduce the biological relevance of behavioral models.
Purpose of the Study:
- To distinguish between the biological cybernetic and engineering perspectives on robot modeling.
- To highlight the benefits of bio-inspired design in artificial systems.
Main Methods:
- Comparative analysis of computer simulations versus physical robots as biological models.
- Exploration of engineering applications derived from biological systems.
Main Results:
- Computer simulations are fundamentally equivalent or superior to physical robots for modeling biological behavior.
- Robots can be enhanced by incorporating solutions from biological systems, particularly insect biology.
Conclusions:
- The distinction between biological modeling and engineering application is crucial for effective robot design.
- Bio-inspired robotics, using insect biology as a case study, offers significant engineering advantages.
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