DocumentCode
2912906
Title
A human-robot interface using an extended digital desk
Author
Terashima, Maho ; Sakane, Shigeyuki
Author_Institution
Seiko Epson Corp., Nagano, Japan
Volume
4
fYear
1999
fDate
1999
Firstpage
2874
Abstract
Much attention has been paid to augmented reality (AR) systems, which can enhance a human´s daily life by blending multi-modal information with the real world. Most existing AR systems provide such information for humans by using monitor displays or see-through head mounted displays as interface devices. In applying AR to human-robot interfaces in teaching tasks, however, alternative systems should be developed to overcome the limitations of the existing interfaces and to allow for more flexible interaction. The paper presents an attempt to make such an interface using an extended digital desk for guiding and teaching robot tasks. A prototype system consists of a projector subsystem for information display and a real time tracking vision subsystem for recognizing human´s action. Two levels of interaction have been developed: (1) VOP, virtual operational panel for primitive robot operations and (2) IIP, interactive image panel for intuitive teaching using a projected live image of the task environment. Experiments of teaching robot tasks demonstrate the usefulness of the proposed system
Keywords
CCD image sensors; augmented reality; robot programming; robot vision; user interfaces; augmented reality systems; extended digital desk; flexible interaction; human-robot interface; information display; interactive image panel; intuitive teaching; multi-modal information; primitive robot operations; projector subsystem; real time tracking vision subsystem; teaching tasks; virtual operational panel; Augmented reality; Education; Educational robots; Face; Head; Humans; Layout; Orbital robotics; Prototypes; Three dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location
Detroit, MI
ISSN
1050-4729
Print_ISBN
0-7803-5180-0
Type
conf
DOI
10.1109/ROBOT.1999.774033
Filename
774033
Link To Document