Name
Abstract | ||
|---|---|---|
We describe a new experimental approach whereby an indoor flying robot evolves the ability to navigate in a textured room using only visual information and neuromorphic control. The architecture of a spiking neural circuit, which is connected to the vision system and to the motors, is genetically encoded and evolved on the physical robot without human intervention. The flying robot consists of a small wireless airship equipped with a linear camera and a set of sensors used to measure its performance. Evolved spiking circuits can manage to fly the robot around the room by exploiting a combination of visual features, robot morphology, and interaction dynamics. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-36181-2_59 | Biologically Motivated Computer Vision |
Keywords | Field | DocType |
robot morphology,physical robot,evolved spiking circuit,spiking neural circuit,visual feature,evolving vision-based flying robots,human intervention,linear camera,interaction dynamic,visual information,textured room,genetics,vision system,evolutionary robotics | Robot learning,Social robot,Robot control,Computer vision,Evolutionary robotics,Machine vision,Neuromorphic engineering,Artificial intelligence,Engineering,Robot,Mobile robot | Conference |
Volume | ISSN | ISBN |
2525 | 0302-9743 | 3-540-00174-3 |
Citations | PageRank | References |
12 | 1.75 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Christophe Zufferey | 1 | 467 | 46.55 |
| Dario Floreano | 2 | 3400 | 284.98 |
| Matthijs Van Leeuwen | 3 | 299 | 24.85 |
| Tancredi Merenda | 4 | 12 | 1.75 |