DocumentCode :
1747317
Title :
Elements of telerobotics necessary for waste clean up automation
Author :
Hamel, William R. ; Kress, Reid L.
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Tennessee Univ., Knoxville, TN, USA
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
393
Abstract :
A promising way to achieve increased remote worksystem efficiency is to layer telerobotic technologies onto teleoperated remote systems. The research being reported here will enable the teleoperation baseline to be supplemented with operator-selective telerobotic modes of operation that allow automatic performance of subtasks that are either repetitive, require high precision, or involve extreme patience. Before subtask automation can be exploited, however, it is necessary to explicitly represent the 3D geometry of the task space scene surrounding the remote worksystem. The Robot Task Space Analyzer (RSTA) is a tool for remote equipment operators that combines infrared laser and visible stereo imaging, human-interactive modeling and computer-based object recognition to build 3D models of the immediate work zone in which a robot system is operating. This paper presents the hardware and software design of the RTSA system. Human factors aspects the system operation and design are discussed.
Keywords :
image recognition; infrared imaging; interactive systems; laser beam applications; object recognition; stereo image processing; telerobotics; waste disposal; 3D geometry representation; IR laser; RSTA; Robot Task Space Analyzer; computer-based object recognition; human-interactive modeling; infrared laser imaging; remote worksystem efficiency; subtask automation; task space scene; telerobotics; visible stereo imaging; waste clean up automation; Computational geometry; Geometrical optics; Image analysis; Infrared imaging; Laser modes; Layout; Optical imaging; Orbital robotics; Robotics and automation; Telerobotics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-6576-3
Type :
conf
DOI :
10.1109/ROBOT.2001.932583
Filename :
932583
Link To Document :
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