Name
Abstract | ||
|---|---|---|
The capability of a robot being aware of its internal status is a step forward to the enhancement of human-robot interaction. The possibility of feeling either pleasant or unpleasant sensations is at the basis of the motivation level of a robot. It can modulate the "willingness" of accomplishing a given task. Negative sensations can represent an alarm indicating dangerous situations, while the feeling of a reassuring environment or a well-being sensation can be a stimulus in pursuing the task, even in the presence of a painful perception. In this paper, we illustrate a bio-inspired somatosensory system embedded in a cognitive model for a humanoid robot. The system is based on a set of soft sensors that have been designed in order to make it possible for the interpretation of the robot physical sensations through a proper classification of the perceived somatosensory signals. This interpretation triggers and modulates the motivation level of the robot as well as its behavior. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1142/S1793351X18400044 | INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING |
Keywords | Field | DocType |
Somatosensory system, soft sensors, cognitive architecture, humanoid robot | Computer science,Human–computer interaction,Artificial intelligence,Somatosensory system,Robot,Cognitive architecture,Perception,Feeling,Machine learning,Humanoid robot | Journal |
Volume | Issue | ISSN |
12 | 1 | 1793-351X |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Agnese Augello | 1 | 149 | 33.34 |
| Ignazio Infantino | 2 | 151 | 32.13 |
| Umberto Maniscalco | 3 | 17 | 10.34 |
| Giovanni Pilato | 4 | 258 | 58.71 |
| Filippo Vella | 5 | 138 | 25.37 |