Name
Abstract | ||
|---|---|---|
Building a human-like robot that could be involved in our daily lives is a dream of many scientists. Achieving a sophisticated robot's vision system, which can enhance the robot's real-time interaction ability with the human, is one of the main keys toward realizing such an autonomous robot. In this work, we are suggesting a bioinspired vision system that helps to develop an advanced human-robot interaction in an autonomous humanoid robot. First, we enhance the robot's vision accuracy online by applying a novel dynamic edge detection algorithm abstracted from the rules that the horizontal cells play in the mammalian retina. Second, in order to support the first algorithm, we improve the robot's tracking ability by designing a variant photoreceptors distribution corresponding to what exists in the human vision system. The experimental results verified the validity of the model. The robot could have a clear vision in real time and build a mental map that assisted it to be aware of the frontal users and to develop a positive interaction with them. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1155/2011/943137 | JOURNAL OF ROBOTICS |
Field | DocType | Volume |
Robot learning,Social robot,Computer vision,Robot control,Simulation,Computer science,Personal robot,Artificial intelligence,Mobile robot navigation,Autonomous robot,Mobile robot,Ubiquitous robot | Journal | 2011 |
ISSN | Citations | PageRank |
1687-9600 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdul Rahman Hafiz | 1 | 22 | 4.08 |
| Fady Alnajjar | 2 | 66 | 12.23 |
| Kazuyuki Murase | 3 | 1038 | 75.66 |