Name
Abstract | ||
|---|---|---|
The ability to understand why a particular robot behavior was triggered is a cornerstone for having human-acceptable social robots. Every robot action should be able to be explained and audited, expected and unexpected robot behaviors should generate a fingerprint showing the components and events that produce them. This research proposes a three-dimensional model for accountability in autonomous robots. The model shows three different elements that deal with the different levels of information, from low-level such as logging to a high level, such as robot behavior. The model proposes three different approaches of visualization, one on command line and two using GUI. The three-level system allows a better understanding of robot behaviors and simplifies the mapping of observable behaviors with accountable information. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/978-3-030-57805-3_28 | CISIS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Javier Rodríguez-Lera | 1 | 0 | 0.34 |
| Miguel Ángel González Santamarta | 2 | 0 | 0.34 |
| Ángel Manuel Guerrero | 3 | 0 | 0.34 |
| Francisco Martín | 4 | 55 | 7.92 |
| Vicente Matellán Olivera | 5 | 37 | 8.08 |