Paper Info
Title
Understanding user commands by evaluating fuzzy linguistic information based on visual attention
Abstract
This article proposes a method for understanding user commands based on visual attention. Normally, fuzzy linguistic terms such as “very little” are commonly included in voice commands. Therefore, a robot’s capacity to understand such information is vital for effective human-robot interaction. However, the quantitative meaning of such information strongly depends on the spatial arrangement of the surrounding environment. Therefore, a visual attention system (VAS) is introduced to evaluate fuzzy linguistic information based on the environmental conditions. It is assumed that the corresponding distance value for a particular fuzzy linguistic command depends on the spatial arrangement of the surrounding objects. Therefore, a fuzzy-logic-based voice command evaluation system (VCES) is proposed to assess the uncertain information in user commands based on the average distance to the surrounding objects. A situation of object manipulation to rearrange the user’s working space is simulated to illustrate the system. This is demonstrated with a PA-10 robot manipulator.
Year
DOI
Venue
2009
10.1007/s10015-009-0716-8
Artificial Life and Robotics
Keywords
DocType
Volume
fuzzy linguistic information · visual attention · robot control,human robot interaction,information visualization,fuzzy logic,robot control
Journal
14
Issue
ISSN
Citations 
1
1614-7456
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
A. G. Jayasekara135.45
Keigo Watanabe2591144.65
Kiyotaka Izumi322552.60