Name
Abstract | ||
|---|---|---|
A computational model of central action selection has been successfully embedded in a robotic platform. The proposed model, allows action selection between basic behaviors in a rat-like fashion. These behaviors imitate some home cage activities of a laboratory rat. The behavioral setting ranges from: search-ýfoodý, ýfoodý-pickup, ýfoodý-deposit, wall-finding and look-around. There is evidence that the switching of multiple sensorimotor systems in the vertebrate brain is similar to the concept of action oriented sensor fusion in AI robotics. In this work, by integrating infrared, odometry and visual information within a reactive navigation scheme, we use sensor fusion to produce action selection. Following this approach, initial experiments were conducted using a robot simulation software. Subsequent tests were carried out to evaluate the functionality of the model in a Khepera robot. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ENC.2004.1342619 | ENC |
Keywords | Field | DocType |
central action selection,robot simulation software,khepera robot,ai robotics,sensor fusion,behavioral setting range,basic behavior,computational model,action selection,infrared,simulation software,robots,computer model | Simulation software,Computer science,Odometry,Sensor fusion,Artificial intelligence,Action selection,Robot,Robotics | Conference |
ISBN | Citations | PageRank |
0-7695-2160-6 | 1 | 0.42 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando M. Montes-González | 1 | 1 | 0.42 |
| Antonio Marín-hernández | 2 | 15 | 8.47 |