Abstract
The field of adaptive robotics involves simulations and real-world implementations of robots that adapt to their environments. In this article, I introduce adaptive environmentics-the flip side of adaptive robotics-in which the environment adapts to the robot. To illustrate the approach, I offer three simple experiments in which a genetic algorithm is used to shape an environment for a simulated KHEPERA robot. I then discuss at length the potential of adaptive environmentics, also delineating several possible avenues of future research.
| Original language | English |
|---|---|
| Pages (from-to) | 133-140 |
| Number of pages | 8 |
| Journal | AI Magazine |
| Volume | 22 |
| Issue number | 4 |
| State | Published - 1 Dec 2001 |
ASJC Scopus subject areas
- Artificial Intelligence