DocumentCode
2637029
Title
Automatic action planning as a key to virtual reality based man-machine-interfaces
Author
Freund, E. ; Rossmann, Juergen ; Hoffmann, K.
Author_Institution
Inst. fur Roboterforschung, Dortmund Univ., Germany
fYear
1996
fDate
8-11 Dec 1996
Firstpage
647
Lastpage
654
Abstract
Experiences in space robotics showed, that in a field where the need for autonomy of automated systems is traditionally very high, there is also a great concern about operability and supervision efforts. In order to give a user trust in autonomous operation of a system, he must be provided with convincing information concerning the conduct of the tasks to be done and the status of the-potentially-different agents working. In this paper, it is shown, which planning and task deduction capabilities a virtual reality system must have to be well suited for the control and supervision of an autonomous multi-robot-system for space-laboratory servicing. Furthermore, it is emphasized, that the usefulness and operability of a virtual reality based man-machine-interface can be maximized by employing automatic action planning techniques to automatically “project” actions carried out by the user in the virtual environment into the physical environment with the help of robots or other means of automation (“projective virtual reality”)
Keywords
aerospace control; intelligent control; maintenance engineering; planning; robots; space vehicles; user interfaces; virtual reality; automatic action planning; autonomous multi-robot-system; operability; projective virtual reality; space robotics; space-laboratory servicing; supervision; virtual reality based man-machine-interfaces; Automatic control; Control systems; Humanoid robots; Intelligent robots; Orbital robotics; Robot control; Robot kinematics; Robot sensing systems; Robotics and automation; Virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3700-X
Type
conf
DOI
10.1109/MFI.1996.572242
Filename
572242
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