DocumentCode :
2401816
Title :
Safe human-robot-cooperation: image-based collision detection for industrial robots
Author :
Ebert, Dirk M. ; Henrich, Dominik D.
Author_Institution :
Embedded Syst. & Robotics Lab., Kaiserslautern Univ., Germany
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1826
Abstract :
This paper analyzes the problem of sensor-based collision detection for an industrial robotic manipulator. A method to perform collision tests based on images taken from several stationary cameras in the work cell is presented. The collision test works entirely based on the images, and does not construct a representation of the Cartesian space. It is shown how to perform a collision test for all possible robot configurations using only a single set of images taken simultaneously.
Keywords :
collision avoidance; computer vision; industrial robots; man-machine systems; path planning; collision test; human-robot-cooperation; image processing; image-based detection; industrial robots; path planning; scene images; sensor-based collision detection; Cameras; Humans; Layout; Orbital robotics; Path planning; Performance evaluation; Robot sensing systems; Robot vision systems; Service robots; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7398-7
Type :
conf
DOI :
10.1109/IRDS.2002.1044021
Filename :
1044021
Link To Document :
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