Robust Robot's Attention for Human Based on the Multi-modal Sensor and Robot Behavior

Title
Robust Robot's Attention for Human Based on the Multi-modal Sensor and Robot Behavior
Authors
윤상석김창구김문상최문택
Issue Date
2010-10
Publisher
2010 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)
Citation
, 117-122
Abstract
In this paper, we propose the robust robot’s attention for human based on the multi-modal sensor and robot behavior. All of the robot components for attention are operating on the intelligent robot software architecture. Human search collect the human information from the sensing information for vision and voice in various illumination change and dynamic environments. And human tracker follows the face trajectory with efficiency and safety. Unlike common belief, the biggest obstacle and competitive factor in robotics is expected to be human robot interaction. Since robot intelligence is not yet at a practical level, the creation of a general interaction manager using an intelligence system will not be realized for some time. Instead, it focuses on one-way speaking and expressing based on emotion to human. Experimental results show that the proposed scheme works successfully in real environments.
URI
http://pubs.kist.re.kr/handle/201004/44484
Appears in Collections:
KIST Publication > Conference Paper
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