Learning about Complexity with Modular Robots
Eric Schweikardt, Mark D. Gross
- Year
- 2008
- Citations
- 15
Abstract
We present progress with roBlocks, a reconfigurable modular robotic system for education. Children snap together small, magnetic, heterogeneous modules to create larger, more complex robotic constructions. The design of the system is described and the algorithms that handle data transfer and manipulation are explained. Users tend to begin exploring the system through a series of simple robot patterns but quickly progress to more involved constructions. Many years before they learn formally about hierarchy and modularity, children can develop intuitions about these concepts by designing modular robots. Additionally, young users often spontaneously engage in creative debugging practices.
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